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).

• Automatic discovery of cross-family sequence features associated with protein function.

  PMID 16409628 · PMC1395344 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  A self-supervised data mining approach can find relationships between sequence features and functional annotations without preconceived functional categories.

  non-redundant same evolved eukaryotic self-supervised experiment self-organizing

• 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

• Reconstructing cell-cell interaction network in single-cell spatial transcriptomics via directed heterogeneous graph autoencoder.

  PMID 41999209 · PMC13189858 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  DualCellChat, a directed heterogeneous graph autoencoder, reconstructs a complete and accurate CCI network from incomplete single-cell spatial transcriptomics

  visual hypothalamic olfactory breast single-cell cci benchmarking

• Embeddings from language models are good learners for single-cell data analysis.

  PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups

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  scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model

  scrna-seq multi-batch diseased perturbation clustering batch cell-type

• Retentive Network promotes efficient RNA language modeling of long sequences.

  PMID 41814064 · PMC13111708 · Communications biology · 2026 · 8 claims · 6 setups

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  RNAret, a RetNet-based RNA language model with O(n) complexity, achieves training parallelism and low computational overhead while processing long RNA sequences

  million rnacentral mirtarraw rnastralign self-supervised t-sne mirna-mrna

• 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

• Malignant perinatal variant of long-QT syndrome caused by a profoundly dysfunctional cardiac sodium channel.

  PMID 19808432 · PMC2725366 · Circulation. Arrhythmia and electrophysiology · 2008 · 8 claims · 7 setups

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  G1631D causes profound cardiac sodium channel dysfunction: markedly slowed inactivation (~10-fold), increased persistent current, depolarized voltage dependence of activation/inactivation, and slowed recovery from inactivation

  newborn tsa201 perinatal genetic whole-cell single-channel

• High-fidelity bidirectional translation between single-cell transcriptomes and DNA methylomes with scBOND.

  PMID 41887797 · PMC13138010 · Genome research · 2026 · 7 claims · 6 setups

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  scBOND is a bidirectional dual-channel VAE framework for cross-modality translation between scRNA-seq and scDNAm that outperforms existing baseline methods (scCross, MAPLE) in both translation directions

  mouseembryo humanbraina paired umap differential

• Cross-species prediction reveals chromatin regions with increased accessibility in humans.

  PMID 41984952 · PMC13082337 · Science advances · 2026 · 8 claims · 8 setups

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  CNNs trained exclusively on human ATAC-seq data achieve cross-species prediction performance in chimpanzees and macaques comparable to species-specific models

  lymphoblastoid prefrontal six chimpanzee bulk single-cell cnn

• PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.

  PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups

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  PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.

  k562 rpe1 processed single-cell computational biological

• Prediction of myeloid malignant cells in Fanconi anemia using machine learning.

  PMID 41557613 · PMC12818649 · PloS one · 2026 · 6 claims · 7 setups

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  A DNN classifier trained on AML scRNA-seq data accurately predicts AML-like transcriptional profiles at single-cell resolution

  bone predicted-aml healthy scrna-seq reference-based stemnet

• Critical evaluation of drug response prediction models with DrEval.

  PMID 42120410 · PMC13168506 · Nature communications · 2026 · 8 claims · 6 setups

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  DrEval is a living open-source benchmarking pipeline for unbiased, biologically meaningful evaluation of cancer drug response prediction models, integrating standardized preprocessing, hyperparameter tuning, statistically rigorous evaluation, cross-study benchmarks, and ablation studies.

  ctrpv2 ccle beataml2 pdx_bruna viability drug pdx