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).

• Evaluation of classification and forecasting methods on time series gene expression data.

  PMID 33156855 · PMC7647064 · PloS one · 2020 · 8 claims · 4 setups

  Has reproduction · 74

  Deep learning based methods generally outperform traditional approaches for time series gene expression classification.

  gene gse6186 time short convolutional

• Predicting the effect of CRISPR-Cas9-based epigenome editing.

  PMID 41524535 · PMC12795505 · eLife · 2026 · 8 claims · 6 setups

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  Machine learning (CNN and ridge regression) models trained on histone PTM ChIP-seq and RNA-seq data from 13 ENCODE cell types accurately predict endogenous gene expression, with transcriptome-wide correlations of ~0.70-0.79 for most cell types

  hek293t k562 computational chip-seq rna-seq mnase-seq

• Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.

  PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups

  Has reproduction

  The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells

  ace2-transfected calu-3 luad ipsc-derived ipa sequencing convolutional

• An artificial intelligence optimized hepatic differentiation unveils NR5A2 and AP-1 transcriptional regulation in hepatic maturation.

  PMID 41962865 · PMC13185932 · The Journal of biological chemistry · 2026 · 7 claims · 8 setups

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  A CNN-based AI algorithm trained on bright-field images of hepatic progenitor cells (HPCs) accurately predicts successful vs. failed differentiation without immunostaining or lineage tracing

  hpsc-derived hlcs cnn-based qpcr flow

• Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.

  PMID 41758825 · PMC12948085 · PloS one · 2026 · 8 claims · 6 setups

  Full-text index only

  AI-based predictive models built on unannotated scRNA-seq data (cell-by-gene expression matrices) can classify melanoma patients as ICI responders vs. non-responders

  cd45+ scrna-seq independent scrna-seq single-gene-level pathway-level

• DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.

  PMID 33662629 · PMC9801043 · Genomics, proteomics & bioinformatics · 2022 · 8 claims · 8 setups

  Has reproduction · 50

  DeeReCT-APA quantitatively predicts the usage of all competing PASs of a gene simultaneously, rather than casting the problem as pairwise comparison like prior methods.

  fibroblast genomic same 3'-region 3'-mrna deep

• Machine and Deep Learning Reveal Sequence Determinants Encoding Bivalent Histone Modifications.

  PMID 41946881 · PMC13057473 · Communications biology · 2026 · 8 claims · 7 setups

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  Bivalent domains have higher GC content and stronger evolutionary conservation than monovalent regions

  embryonic mesc random bivalent chip-seq rna-seq k-mer-based

• Multimodal framework for the joint analysis of single-cell RNA and T cell receptor sequencing data predicts T cell response to cancer immunotherapy.

  PMID 41820396 · PMC13121706 · Nature communications · 2026 · 8 claims · 7 setups

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  TRIM, a conditional multi-modal variational autoencoder integrating paired scRNAseq and scTCRseq data, predicts T cell clonality and transcriptional states at unmeasured tissue sites/timepoints.

  hnscc colorectal pan-cancer tcr paired umap convolutional