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).

• Inference of RNA polymerase II transcription dynamics from chromatin immunoprecipitation time course data.

  PMID 24830797 · PMC4022483 · PLoS computational biology · 2014 · 8 claims · 8 setups

  Has reproduction · 75

  A convolved Gaussian process model of pol-II occupancy across gene segments captures the transcription wave and yields estimates of transcription speed and promoter-proximal pol-II activity.

  mcf7 promoter gene signals pol-ii clustering transcription

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• Partially shared multi-modal embedding learns holistic representation of cell state.

  PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups

  Full-text index only

  APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.

  simulated paired single simulation scrna-seq multiplexed

• VIST: variational inference for single cell time series.

  PMID 41535949 · PMC12892444 · Genome biology · 2026 · 8 claims · 6 setups

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  VIST is a VAE-based method that decomposes single-cell gene expression into time-dependent and time-independent latent components

  toy drosophila aorta lung synthetic time-course latent

• Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings.

  PMID 41555918 · PMC12812404 · Frontiers in genetics · 2025 · 7 claims · 5 setups

  Full-text index only

  LiVAE, a dual-pathway VAE with Lorentzian geometric regularization between a primary Euclidean pathway and an information-bottleneck pathway, balances local fidelity with global topology coherence in single-cell embeddings

  single-cell same dapp1 benchmarking umap component-wise

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

  PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 8 claims · 7 setups

  Has reproduction · 84

  DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data

  cancer breast hepatocarcinoma tcga multi-omics gene rna-seq

• MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction.

  PMID 41811907 · PMC12998955 · PLoS computational biology · 2026 · 8 claims · 7 setups

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  MultiPert reliably predicts both perturbed gene expression and protein abundance profiles from single-cell multi-omics data

  thp-1 kidney gse156478 computational zinb-vae autoencoder eccite-seq

• Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants.

  PMID 41647537 · PMC12869734 · Fundamental research · 2026 · 6 claims · 3 setups

  Has reproduction · 68

  scCluster, an end-to-end deep clustering model integrating gene expression and expressed variant (eSNP) features, stratifies cell subpopulations in cancer scRNA-seq data.

  raw real-world expressed gene deep

• TransOrGAN: An Artificial Intelligence Mapping of Rat Transcriptomic Profiles between Organs, Ages, and Sexes.

  PMID 37200521 · PMC10433534 · Chemical research in toxicology · 2023 · 8 claims · 5 setups

  Has reproduction · 84

  TransOrGAN can infer transcriptomic profiles between any 2 of 9 rat organs with an average cosine similarity of 0.984 versus real profiles

  fischer computational transcriptomic same bulk gan-based autoencoder

• Multiomic analysis of malignant pleural mesothelioma identifies molecular axes and specialized tumor profiles driving intertumor heterogeneity.

  PMID 36928603 · PMC10101853 · Nature genetics · 2023 · 8 claims · 6 setups

  Has reproduction · 80

  The WHO histopathological classification of MPM accounts for only up to ~10% of interpatient molecular differences

  mpm mesomics whole-genome bulk methylation

• DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

  PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups

  Has reproduction · 40

  DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.

  simulated real-world simulation scrna-seq-based