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Paper Citation Record · LEDGER

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark

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.

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pith.paper-citation-record.v1
2606.05980 v1

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Outbound references

Observation e7528b38-e80a-4993-b456-4af3743fc576 · outbound

This paper cites A robust workflow to benchmark deconvolution of multi-omic data, November 2024.

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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This paper cites Powell, Pieter Mestdagh, and Katleen De Preter.

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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This paper cites A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches.

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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This paper cites Wolock, Aubrey L.

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Wolock, Aubrey L

Reference 4

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This paper cites Bastounis, Yi-Ting Yeh, and Julie A.

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

Reference 6

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This paper cites Poulos, Jia Liu, and Qing Zhong.

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

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

Reference 8

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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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This paper cites Benchmarking of methods for DNA methylome deconvolution.

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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This paper cites DECON- bench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification.

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

Reference 11

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This paper cites Computational deconvolution of DNA methylation data from mixed DNA samples.

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Computational deconvolution of DNA methylation data from mixed DNA samples

Reference 12

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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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This paper cites A Factor Model Ap- proach to Multiple Testing Under Dependence.

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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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unresolved cited work

Reference 15

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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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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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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Halbrook, Costas A

Reference 19

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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Hallmarks of cancer—Then and now, and beyond

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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Accomando, Devin C

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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

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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes

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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

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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

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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Mullen and Ivo H

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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

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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)

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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

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This paper cites Establishment of a pancreatic adenocar- cinoma molecular gradient (PAMG) that predicts the clinical outcome of pancreatic cancer.

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

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This paper cites Pancreatic Adenocarcinoma Therapeutic Targets Revealed by Tumor-Stroma Cross-Talk Analyses in Patient-Derived Xenografts.Cell Reports, 21(9):2458–2470, November 2017.

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

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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

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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

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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Winter, Andrew W

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This paper cites Rashid, Xianlu L.

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Rashid, Xianlu L

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Observation 176fd8ac-de64-4418-b87e-fb1bed8090ed · outbound

This paper cites Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.

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

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Observation 59caad39-d1db-42d4-b6a3-59ff13004d87 · outbound

This paper cites CATD: a reproducible pipeline for selecting cell-type deconvolution methods across tissues.

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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This paper cites Approaching the holistic transcriptome—convolution and deconvolution in transcriptomics.

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Approaching the holistic transcriptome—convolution and deconvolution in transcriptomics

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This paper cites Spleen” samples from the GTEx portal (RNASeQCv1.1.9). RNA- seq Fibroblasts 527 GTEx (v8) “Cells – Cultured fibroblasts.

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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This paper cites Tumor subtypes: basal/classical inferred using PurIST [36].

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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Observation fb1f4143-db1b-417d-ab75-38a6f73db1fc · outbound

This paper cites Note: no fibroblasts available.

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Note: no fibroblasts available

Reference 42

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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark quantile

Reference 43

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On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Unresolved cited work

Reference 44

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This paper cites Let µpc be the mean methylation level observed in the bulk reference dataset for probe p and cell type c.

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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Observation f3ef390f-880d-4f58-8231-329c390c7659 · outbound

This paper cites , aki) represents the vector of proportions for the k cell types in sample i.

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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Observation 80f0fe36-8305-4078-b8a4-6df27b0110cd · outbound

This paper cites For each sample i, a total of K = 100 cells were allocated across cell types according to the proportion vector Ai = (a1i,.

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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This paper cites Limitations.

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark Limitations

Reference 49

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This paper cites Guidelines: • The answer [N/A] means that the paper does not include theoretical results.

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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This paper cites All datasets, preprocessing steps, and evaluation procedures are described in the paper Section 4 and 5 and supplementary materials.

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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This paper cites 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].

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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This paper cites A detailed description of each method and its configuration is provided in the Supplementary Material (Section B.3).

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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Observation 29d31408-598a-4f33-9684-9dc60415e098 · outbound

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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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Observation bde80c00-9c69-45a5-8eab-88b4fa8d1520 · outbound

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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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