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).

• ICE: robust detection of cellular senescence from weak single-cell signatures using imputation-based marker refinement.

  PMID 41668152 · PMC12990438 · Genome biology · 2026 · 8 claims · 7 setups

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  Senescence-associated marker genes show weak, non-specific expression across human tissues and cell types compared to canonical tissue/cell-type markers

  tissues pancreas pancreatic brain bulk scrna-seq train

• Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.

  PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups

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  DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics

  synthetic embryonic colorectal computational stochastic scrna-seq deep

• Social complexity, life-history and lineage influence the molecular basis of castes in vespid wasps.

  PMID 36828829 · PMC9958023 · Nature communications · 2023 · 8 claims · 7 setups

  Has reproduction · 52

  A shared genetic toolkit of caste-associated genes exists across vespid wasp species spanning different levels of social complexity

  vespid single-copy brain caste-biased bulk orthology principal

• A comprehensive toolkit for analyzing cell-free DNA genomic sequencing data in liquid biopsy.

  PMID 42111187 · PMC13157187 · iScience · 2026 · 8 claims · 8 setups

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  cfDNAanalyzer integrates feature extraction, feature processing/selection, and machine learning model building into a single one-command-line toolkit for cfDNA genomic sequencing data

  balanced breast healthy multi-cancer cfdna machine computational

• FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.

  PMID 41551930 · PMC12805895 · NAR genomics and bioinformatics · 2026 · 7 claims · 8 setups

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  FLYNC, an explainable boosting machine (EBM) model, accurately predicts the probability that a newly identified RNA transcript in D. melanogaster is a lncRNA

  melanogaster drosophila automated ebm hyperparameter

• Transcriptome-based high-frequency recurrence index predicts frequent recurrence in non-muscle-invasive bladder cancer after Bacillus Calmette-Guérin therapy.

  PMID 41749284 · PMC13040970 · BMC medicine · 2026 · 8 claims · 7 setups

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  A 75-gene HfRI signature predicts high-frequency recurrence (≥2 recurrences) in NMIBC patients

  nmibc uromol2021 bulk microarray rna-seq

• Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients.

  PMID 41844950 · PMC13129071 · Scientific reports · 2026 · 8 claims · 7 setups

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  FM (MAMMAL)-derived drug-target binding affinity (BA) inference can be used to rank/select biologically relevant protein targets and their associated genes/SNPs for a drug of interest without knowledge of protein structure or active sites

  reference top surgical snp-mutated inference gene genomic

• Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

  PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups

  Has reproduction · 84

  A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier