Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• BiCLUM: Bilateral contrastive learning for unpaired single-cell multi-omics integration.

  PMID 41632825 · PMC12904586 · PLoS computational biology · 2026 · 8 claims · 5 setups

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  BiCLUM consistently outperforms or matches existing integration methods across multiple RNA+ATAC and RNA+protein datasets in visualization and quantitative benchmarks

  pbmc kidney bmmc bmcite scrna-seq cite-seq

• Multimodal-based analysis of single-cell ATAC-seq data enables highly accurate delineation of clinically relevant tumor cell subpopulations.

  PMID 41530870 · PMC12888741 · Genome medicine · 2026 · 8 claims · 8 setups

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  MAAS integrates chromatin accessibility, CNVs, and SNVs from scATAC-seq data to identify functional tumor cell subpopulations

  tumor pediatric b-cell glioblastoma scatac-seq bulk gene

• Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.

  PMID 41650244 · PMC12890892 · Proceedings of the National Academy of Sciences of the United States of America · 2026 · 8 claims · 7 setups

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  SuperMap learns cross-modal feature mappings directly from unpaired multimodal data without requiring paired training data

  pbmc bone skin embryos scrna-seq scnmt-seq asap-seq

• Developing a comprehensive database and search tool for single-cell ATAC-seq data.

  PMID 41545440 · PMC12816011 · Scientific reports · 2026 · 5 claims · 6 setups

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  scATAC.Explorer is a curated database containing 39 publicly available scATAC-seq datasets in a consistent format

  hematopoietic drosophila cancer scatac-seq sci-atac-seq sci-car

• A generic reference defined by consensus peaks for single-cell ATAC-seq data analysis.

  PMID 41663439 · PMC12996591 · Nature communications · 2026 · 7 claims · 7 setups

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  Aggregating peaks from 624 high-quality bulk ATAC-seq datasets defines ~1.4 million observed consensus peaks (cPeaks) covering ~30% of the genome.

  bulk scatac-seq cnn gm12878 bulk scatac-seq deep

• maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

  PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups

  Has reproduction · 98

  maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors

  lines hepg2 types single chip-seq omni-atac-seq atac-seq