Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T22:56:05.960715Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2606.05980.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T22:56:05.960715Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
63 of 63 outbound references displayed
External citation measurements
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Observation e7528b38-e80a-4993-b456-4af3743fc576 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark A robust workflow to benchmark deconvolution of multi-omic data, November 2024
Reference 1
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Observation ea03bda4-eaea-4fc4-b862-8c370ab410da · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Powell, Pieter Mestdagh, and Katleen De Preter
Reference 2
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
Reference 3
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Observation 23b59879-2e66-4110-9450-ef81c094b492 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Wolock, Aubrey L
Reference 4
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Bastounis, Yi-Ting Yeh, and Julie A
Reference 5
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Giraldo, Laetitia Lacroix, Bénédicte Buttard, Nabila Elarouci, Florent Petitprez, Janick Selves, Pierre Laurent-Puig, Catherine Sautès-Fridman, Wolf H
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Poulos, Jia Liu, and Qing Zhong
Reference 7
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark A unified computational framework for single-cell data integration with optimal transport
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unresolved cited work
Reference 9
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Benchmarking of methods for DNA methylome deconvolution
Reference 10
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Observation f058d839-41e3-45b3-a25e-e76fef49f3ac · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark DECON- bench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification
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Observation 29759c0f-7466-4e30-bf05-dd750eef28aa · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Computational deconvolution of DNA methylation data from mixed DNA samples
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Observation e96dde32-143e-4ca7-a8d8-7876716cf167 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Senescence-associated DNA methylation is stochastically acquired in subpopulations of mesenchymal stem cells
Reference 13
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Observation ec5a9e24-46d7-41ff-8d10-6fd9874c94fe · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark A Factor Model Ap- proach to Multiple Testing Under Dependence
Reference 14
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Observation 4614bcd4-73b6-42e8-86bb-f0d4e2bd1826 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unresolved cited work
Reference 15
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Observation 7b821a3e-f719-4ef0-b690-2669e98f172d · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Hadaca3 benchmark: Multi-omic deconvolution challenge
Reference 16
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Hadaca3 framework: Modular nextflow pipeline for multi-omic deconvolution benchmarking, 2026
Reference 17
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Observation 0b6a1acd-56bf-411b-93cb-190e0f46ad4a · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Hadaca3 in silico multi-omic benchmark datasets, 2026
Reference 18
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Observation b67ad0f7-332c-4a73-a866-3fb38288be44 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Halbrook, Costas A
Reference 19
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Observation 53c1179e-0b91-4c56-9a40-4b1121077d3e · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Hallmarks of cancer—Then and now, and beyond
Reference 20
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Observation 2624fe64-368a-47a7-abe0-13b3ab5c3c55 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Accomando, Devin C
Reference 21
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Toast: improving reference-free cell composition estimation by cross-cell type differential analysis
Reference 22
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Observation 16cca264-50b1-45c9-adc6-d9ba53a3342d · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes
Reference 23
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems
Reference 24
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unsupervised multiple kernel learning for heterogeneous data integration
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Culhane, and Amin Moghaddas Gholami
Reference 26
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Observation 81d6dd58-d868-4c75-a2b6-88afc12b405b · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Mullen and Ivo H
Reference 27
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Suh, Dong-gi Lee, Manu Shivakumar, Matthew E
Reference 28
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Generation of multi-omic datasets using high-throughput molecular profiling of rna data in human pancreatic cancer (pdac)
Reference 29
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Robust enumeration of cell subsets from tissue expression profiles
Reference 30
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Observation cb3c15b8-f1ce-4926-a576-43511e63295b · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Establishment of a pancreatic adenocar- cinoma molecular gradient (PAMG) that predicts the clinical outcome of pancreatic cancer
Reference 31
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Observation a8aae814-0170-4b0c-a428-f88f38ad9b1a · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Pancreatic Adenocarcinoma Therapeutic Targets Revealed by Tumor-Stroma Cross-Talk Analyses in Patient-Derived Xenografts.Cell Reports, 21(9):2458–2470, November 2017
Reference 32
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Observation 90eb6f08-1d9d-4964-b99a-119dc6d1aae2 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma
Reference 33
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Simul- taneous enumeration of cancer and immune cell types from bulk tumor gene expression data
Reference 34
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Observation f1fa09a5-deb5-46a1-aa9d-4e87ae8b09d5 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Winter, Andrew W
Reference 35
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Rashid, Xianlu L
Reference 36
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma
Reference 37
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Observation 59caad39-d1db-42d4-b6a3-59ff13004d87 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark CATD: a reproducible pipeline for selecting cell-type deconvolution methods across tissues
Reference 38
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Observation 5d9d7259-e28c-4de1-9d41-93ae96b29697 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Approaching the holistic transcriptome—convolution and deconvolution in transcriptomics
Reference 39
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Spleen” samples from the GTEx portal (RNASeQCv1.1.9). RNA- seq Fibroblasts 527 GTEx (v8) “Cells – Cultured fibroblasts
Reference 40
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Tumor subtypes: basal/classical inferred using PurIST [36]
Reference 41
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Note: no fibroblasts available
Reference 42
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Observation 10618ad8-c052-4059-a9f7-1fe9e772ac48 · outbound
On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark quantile
Reference 43
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Reference 44
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Let µpc be the mean methylation level observed in the bulk reference dataset for probe p and cell type c
Reference 45
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark , aki) represents the vector of proportions for the k cell types in sample i
Reference 46
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark For each sample i, a total of K = 100 cells were allocated across cell types according to the proportion vector Ai = (a1i,
Reference 47
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unresolved cited work
Reference 48
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Limitations
Reference 49
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Guidelines: • The answer [N/A] means that the paper does not include theoretical results
Reference 50
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark All datasets, preprocessing steps, and evaluation procedures are described in the paper Section 4 and 5 and supplementary materials
Reference 51
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark The code used to simulate datasets and generate all figures presented in the paper and to reproduce the benchmark is also publicly available on GitHub [17]
Reference 52
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark A detailed description of each method and its configuration is provided in the Supplementary Material (Section B.3)
Reference 53
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unresolved cited work
Reference 54
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark All experiments were run on a high-performance computing cluster
Reference 55
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark • If the authors answer [No], they should explain the special circumstances that require a deviation from the Code of Ethics
Reference 56
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Guidelines: • The answer [N/A] means that there is no societal impact of the work performed
Reference 57
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark The benchmark relies on publicly available biological datasets and simulated data
Reference 58
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Guidelines: • The answer [N/A] means that the paper does not use existing assets
Reference 59
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Guidelines: • The answer [N/A] means that the paper does not release new assets
Reference 60
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark competition
Reference 61
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research
Reference 62
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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unresolved cited work
Reference 63
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No inbound Pith citation observations are available.