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).

• PlasmoDraft: a database of Plasmodium falciparum gene function predictions based on postgenomic data.

  PMID 18925948 · PMC2605471 · BMC bioinformatics · 2008 · 8 claims · 4 setups

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  Gonna, a supervised k-nearest-neighbor Guilt-By-Association predictor, proposes GO annotations for a gene based on similarity of its transcriptome, proteome, or interactome profile to genes already annotated by GeneDB

  plasmodium genedb-annotated k-nn leave-one-out

• Integrated multi-omic atlas reveals the hierarchy of spatiotemporal regulatory networks of mouse gastrulation.

  PMID 41526381 · PMC12902073 · Nature communications · 2026 · 8 claims · 8 setups

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  BioCRE, a novel bi-orientation regression algorithm, more accurately links genes to candidate cis-regulatory elements (CREs) than existing tools Signac and ArchR

  gastrulating gastrula gold-standard embryo single-cell computational promoter

• Neural network-assisted RNA velocity imputation for empowering transcript dynamics-based analyses.

  PMID 41736867 · PMC12927306 · iScience · 2026 · 8 claims · 8 setups

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  NARVI, a deep neural network trained on expression-velocity relationships of passed genes, can impute RNA velocity for dropped genes that conventional tools (e.g., scVelo, UniTVelo) fail to calculate

  hematopoietic lung erythroid bone scrna-seq cross-validation

• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted

• An AI-Enabled Single-Cell Transcriptomic Analysis Pipeline for Gene Signature Discovery in Natural Killer Cells Linked to Remission Outcomes in Chronic Myeloid Leukemia.

  PMID 41972591 · PMC13072394 · Biology · 2026 · 8 claims · 7 setups

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  GAFA integrates latent-space representation, pseudotime trajectory modeling, GRN inference, and machine learning-based gene panel discovery into a single coherent pipeline, unlike existing workflows that treat these steps independently.

  peripheral subset immune assigned scrna-seq latent-space automated