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Paper Citation Record · LEDGER

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints

As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2501.18650.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.18650 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:31:56.171953Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy35
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 657bde98-c267-4aa6-92d5-969e93bf9b1e · outbound

This paper cites A comparison of automatic cell identification methods for single- cell RNA sequencing data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A comparison of automatic cell identification methods for single- cell RNA sequencing data

Reference 1

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Observation 9b71a2f1-c950-426f-a061-6798e7ef3f74 · outbound

This paper cites scPred: accurate supervised method for cell-type clas- sification from single-cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scPred: accurate supervised method for cell-type clas- sification from single-cell RNA-seq data

Reference 2

Resolution
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Observation 2b8ad281-16a2-4f10-99e5-3fd649018470 · outbound

This paper cites flowMatch: Cell population matching and meta-clustering in Flow Cytometry.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints flowMatch: Cell population matching and meta-clustering in Flow Cytometry

Reference 3

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Observation 963fe428-60e7-4e60-a557-3e1a97870b3e · outbound

This paper cites Low-avidity CD4+ T cell responses to SARS-CoV-2 in unexposed individuals and humans with severe COVID-19.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Low-avidity CD4+ T cell responses to SARS-CoV-2 in unexposed individuals and humans with severe COVID-19

Reference 4

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Observation 2ffefb13-b341-46fe-9b8b-ff5bb3efc846 · outbound

This paper cites A Single-Cell Transcriptomic Map of the Human and Mouse Pan- creas Reveals Inter- and Intra-cell Population Structure.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A Single-Cell Transcriptomic Map of the Human and Mouse Pan- creas Reveals Inter- and Intra-cell Population Structure

Reference 5

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Observation 69655c15-7c52-4b7f-8a50-9fbfffd2290f · outbound

This paper cites Iterative Bregman projections for regularized transportation problems.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Iterative Bregman projections for regularized transportation problems

Reference 6

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Observation 92f64205-356e-41d6-9f0e-be0e7ba338cd · outbound

This paper cites A unified computational framework for single-cell data integration with optimal transport.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A unified computational framework for single-cell data integration with optimal transport

Reference 7

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Observation 899e9836-2c12-4f38-b146-5c0b25299112 · outbound

This paper cites Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods

Reference 8

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Observation 62f70c4f-2e6b-4fbd-9477-1ab8f9f71287 · outbound

This paper cites POT: Python Optimal Transport.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints POT: Python Optimal Transport

Reference 9

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Observation ab68c968-0fb1-451c-84ff-cc20d9ce793e · outbound

This paper cites ClusterMap: compare multiple single cell RNA-Seq datasets across dif- ferent experimental conditions.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints ClusterMap: compare multiple single cell RNA-Seq datasets across dif- ferent experimental conditions

Reference 10

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Observation 27acdcef-1b38-4d4a-a70e-c5fd06e5e579 · outbound

This paper cites Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors

Reference 11

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Observation a63d5bbf-b163-41a8-ae28-3983b041b28a · outbound

This paper cites Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

Reference 12

Resolution
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Observation 986b40d3-cd1c-4bda-800e-e3fe5779421e · outbound

This paper cites scMatch: a single-cell gene expres- sion profile annotation tool using reference datasets.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scMatch: a single-cell gene expres- sion profile annotation tool using reference datasets

Reference 13

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Observation 11c13918-a5fa-466d-92fe-ab05f2aea6a3 · outbound

This paper cites Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis

Reference 14

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Observation 8b2cce5e-c808-460a-8d64-303ffab6f508 · outbound

This paper cites Optimal Transport improves cell- cell similarity inference in single-cell omics data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Optimal Transport improves cell- cell similarity inference in single-cell omics data

Reference 15

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Observation e3310a18-1c62-43ef-998c-9ad50a8db1cf · outbound

This paper cites Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

Reference 16

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Observation 7247ae5a-df2e-4c23-90cb-fdf3393eec7c · outbound

This paper cites Stalled developmental programs at the root of pediatric brain tumors.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Stalled developmental programs at the root of pediatric brain tumors

Reference 17

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Observation 42bb48d9-3050-4ad6-a1e6-c3f2c99feb5e · outbound

This paper cites Bayesian approach to single- cell differential expression analysis.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Bayesian approach to single- cell differential expression analysis

Reference 18

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Observation b1e43b6d-abb8-4837-8704-adddfeceb7c3 · outbound

This paper cites Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing

Reference 19

Resolution
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Observation 671e4bc0-e769-4469-adc7-bbf23b63c915 · outbound

This paper cites Challenges in unsuper- vised clustering of single-cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Challenges in unsuper- vised clustering of single-cell RNA-seq data

Reference 20

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Observation 7023e8b9-d910-41aa-acb6-85a926ccecbe · outbound

This paper cites scmap - A tool for unsupervised projection of single cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scmap - A tool for unsupervised projection of single cell RNA-seq data

Reference 21

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Observation 95037bf9-60dd-4375-bc91-e98e7e74865b · outbound

This paper cites Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus

Reference 22

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Observation b60c1b4d-0e26-462c-a323-9c4273f1bec9 · outbound

This paper cites Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes

Reference 23

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Observation eec3cf43-a795-4b5c-ba26-6d9ba0766371 · outbound

This paper cites Machine learning for cell type classification from single nucleus RNA sequencing data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Machine learning for cell type classification from single nucleus RNA sequencing data

Reference 24

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Observation cacfd923-d3c9-44d3-82bd-771e64d6a3d1 · outbound

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Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Optimal Transport with Relaxed Marginal Constraints

Reference 25

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Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A neural network-based method for exhaustive cell label assign- ment using single cell RNA-seq data

Reference 26

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Observation 8d728509-58ca-43f6-bf42-aafc19d6502b · outbound

This paper cites Multisource single-cell data integration by MA W barycenter for Gaussian mixture models.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Multisource single-cell data integration by MA W barycenter for Gaussian mixture models

Reference 27

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Observation 9de2408d-d228-47f4-8906-a0205cf2baa6 · outbound

This paper cites A comparison of batch effect removal methods for enhancement of predic- tion performance using MAQC-II microarray gene expression data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A comparison of batch effect removal methods for enhancement of predic- tion performance using MAQC-II microarray gene expression data

Reference 28

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Observation 73fe6549-4f40-47e2-81b6-dd610c227e57 · outbound

This paper cites Putative cell type discovery from single-cell gene expression data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Putative cell type discovery from single-cell gene expression data

Reference 29

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Observation 7162a031-05c6-470d-94ac-d9787e4bf10f · outbound

This paper cites Enabling reproducible re-analysis of single-cell data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Enabling reproducible re-analysis of single-cell data

Reference 30

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Observation 701cc686-24d2-47e5-b1a8-6a9464e70107 · outbound

This paper cites Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing

Reference 31

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Observation 9eb503be-eaee-4299-b2e9-10c34e64b96c · outbound

This paper cites QFMatch: multidimensional flow and mass cytometry samples alignment.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints QFMatch: multidimensional flow and mass cytometry samples alignment

Reference 32

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Observation c07a5b7e-caeb-4f7a-ae3b-be0b1ba078b1 · outbound

This paper cites A comparison of marker gene selection methods for single-cell RNA sequencing data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A comparison of marker gene selection methods for single-cell RNA sequencing data

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.747141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.090039Z digest=sha256:63c8cefd607b5909301b226ae1448ca82843d379c5fbc502bfbc614531f84d1e

Observation d39c38cd-346b-479b-a2cd-0f9ae551ea12 · outbound

This paper cites PredGCN: a Pruning-enabled Gene-Cell Net for automatic cell annotation of single cell transcriptome data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints PredGCN: a Pruning-enabled Gene-Cell Net for automatic cell annotation of single cell transcriptome data

Reference 34

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.270123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.094355Z digest=sha256:dc3c4cff9546901d2a8768ad4ff3c87986473599cda1a0967c25e60ed894a81f

Observation b8cce651-e924-4f24-8116-ced83b7eecf8 · outbound

This paper cites Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Identification of cell-type-specific marker genes from co-expression patterns in tissue samples

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.733291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.099135Z digest=sha256:e5aecfd92205f37f68a9fcd9ccf2c748b94491a0fa5bea0377e0ab42a37e6526

Observation 21dafcc5-b3bf-4bc0-bcb2-1c89160ddcf3 · outbound

This paper cites PIPET: predicting relevant subpopulations in single-cell data using phenotypic information from bulk data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints PIPET: predicting relevant subpopulations in single-cell data using phenotypic information from bulk data

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.718201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.103410Z digest=sha256:a6c859147c73d99417449cdceda1652dceb7374fbb23e8ed64aab388cc812629

Observation 22fb03a3-28ee-432b-9c89-4b14cc804b23 · outbound

This paper cites Single-cell transcriptome profiling of human pancreatic islets in health and type 2 diabetes.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptome profiling of human pancreatic islets in health and type 2 diabetes

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.703877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.107745Z digest=sha256:0e15baffc8850a9dc2e3a066b4cb9fd12a16d15725dd25764df9e9cc124598e3

Observation 541bf25b-8225-4dbd-b46d-3a166958caec · outbound

This paper cites Exponential scaling of single-cell RNA-seq in the past decade.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Exponential scaling of single-cell RNA-seq in the past decade

Reference 38

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.255374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.112286Z digest=sha256:317be1b984668eeaad56da6fe894d52ea42ecf2a72d5de8a1163053b20011625

Observation d77c2d62-a3cd-419f-94ff-483bee9fffd0 · outbound

This paper cites Adult mouse cortical cell taxonomy revealed by single cell transcrip- tomics.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Adult mouse cortical cell taxonomy revealed by single cell transcrip- tomics

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.688331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.116752Z digest=sha256:dcc3cfcdbefbf36e9f4d092190cf9cbb8ba39a5ade936c73365cb6e591ebd245

Observation 4d062bc7-8048-4a00-92d0-fbda901ce116 · outbound

This paper cites A Survey on Optimal Transport for Machine Learning: Theory and Applications.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A Survey on Optimal Transport for Machine Learning: Theory and Applications

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T04:31:56.121267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:31:56.121267Z digest=sha256:45be39aea85929031a4d86ebbc352cf70de15634dc398321661e6f885564d58f

Observation 37558ee2-f7a1-4043-a392-b4479c03ccae · outbound

This paper cites Batch effects and the effective design of single-cell gene expression studies.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Batch effects and the effective design of single-cell gene expression studies

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.673429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.125980Z digest=sha256:69ae09a6d61323d60dd775218b6d7436221581b2edc4c43cc5ad715ca3e3d02a

Observation 9646e9ad-68ff-40cf-a52b-c7260a271a83 · outbound

This paper cites Identifying cell types to interpret scRNA-seq data: how, why and more possibilities.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Identifying cell types to interpret scRNA-seq data: how, why and more possibilities

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.658416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.131390Z digest=sha256:3d3c2b90cd240354554885048235561a1df833c9a23d23ab027ab4b33e785330

Observation d060a095-6725-4c06-9754-ed059b0d3e40 · outbound

This paper cites Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.642655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.135820Z digest=sha256:65a3a430ce231a6ce942bf2517bde03ac403ea9bf2683a8c4837f7d393d132ab

Observation 5f76a912-c59e-4f41-ac67-35d4e9223671 · outbound

This paper cites Single-cell RNA sequencing to identify cellular heterogeneity and targets in cardiovascular diseases: from bench to bedside.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell RNA sequencing to identify cellular heterogeneity and targets in cardiovascular diseases: from bench to bedside

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.626608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.140082Z digest=sha256:13d14c83909298427dca636e4bfbd8eb96a8c2dccab0718f22bea316dcaee213

Observation 177a841d-3e70-47d8-b1fa-7af9eec514c4 · outbound

This paper cites scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.612113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.144498Z digest=sha256:5a1f49c2cdfcf2b0c5c7b840e7c04f88767099bbf9deabc838e7a4021d805a51

Observation 38f5af9e-ac39-4374-9b28-fb250ee1873e · outbound

This paper cites scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets

Reference 46

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.240359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.149074Z digest=sha256:e5f2f96d0acca25b706310be32a7d2e1f6bff3c03472b30f73e09a44d2ba0c33

Observation 983a92ff-6835-42bc-885b-50e47f017fda · outbound

This paper cites Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.597531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.153604Z digest=sha256:b22b29936a529e487c87d3c621cf78e60dc56d0c0e304466f6d6cd0c3d73dba1

Observation 91baf775-30dd-4ac8-898c-8434df4adaeb · outbound

This paper cites BSDE: barycenter single-cell differential expression for case–control studies.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints BSDE: barycenter single-cell differential expression for case–control studies

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.582412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.157917Z digest=sha256:92745873aabe02ece2ed49e736bd1645559d3cee6cdaf048095b06b4b9fc0569

Observation 52901840-89d1-45df-9f95-813cb9ffa7d3 · outbound

This paper cites FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test

Reference 49

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.225914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.162349Z digest=sha256:31e87710974442f160606a1dd37ddc9b7c554bc11f6fb174d8a0bc172e28d1c6

Observation 36db1f11-81ff-4f14-be1f-94e690c41b36 · outbound

This paper cites Single-cell RNA sequencing reveals the heterogeneity of liver- resident immune cells in human.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell RNA sequencing reveals the heterogeneity of liver- resident immune cells in human

Reference 50

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.209974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.166707Z digest=sha256:aefd3a865410a401bee66f29b84109c272bcaa802bea65994fb44c0129233f78

Observation d58ea6a6-cd32-4922-8f36-584db419a73a · outbound

This paper cites Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.567970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T04:31:56.171953Z digest=sha256:59c3c4ab5296c532498669fef2163142911d6e6c8408c10be69d49cc0c15efe8

Pith citing papers

No inbound Pith citation observations are available.