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).

• High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer.

  PMID 17925008 · PMC2246289 · Genome biology · 2007 · 7 claims · 8 setups

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  A novel subtype of high-grade ER-negative breast cancer exists, characterized by a low genomic instability index (GII)

  breast computational array-cgh gene bac

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE).

  PMID 15339345 · PMC517707 · BMC bioinformatics · 2004 · 7 claims · 5 setups

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  A Bayesian mixture model is proposed to account for within-class biological variability in SAGE/Digital-Northern/MPSS tag counting data.

  astrocytoma same sage classical beta-binomial

• Dissecting reversible and irreversible single cell state transitions from gene regulatory networks.

  PMID 41663695 · PMC13144439 · Molecular systems biology · 2026 · 8 claims · 6 setups

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  STICCC (state transition inference using cross-cell correlations) predicts reversible and irreversible single-cell state transitions using gene expression data and a set of regulator-target interactions

  simulated ode-based racipe

• Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis.

  PMID 34079055 · PMC8172904 · Communications biology · 2021 · 8 claims · 8 setups

  Has reproduction · 96

  Integration of five mouse scRNAseq datasets reveals a trifurcating lineage trajectory originating from embryonic mammary stem cells (MaSCs) that differentiates into three epithelial lineages (Basal, L-Alv, L-Hor) via unipotent progenitor clusters

  mammary surgically normal single-cell whole-mount integration

• Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome.

  PMID 34561431 · PMC8463674 · Nature communications · 2021 · 8 claims · 7 setups

  Has reproduction · 100

  revTWMR, a reverse transcriptome-wide Mendelian Randomization approach integrating GWAS and whole-blood trans-eQTL summary statistics, is proposed to estimate the causal effect of a phenotype on gene expression.

  blood ra-associated genome-wide revtwmr transcriptome-wide reverse functional

• 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

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups

  Has reproduction · 42

  CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy

  cancer testing sequencing unseen scrna-seq spatial

• 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

• Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.

  PMID 41223329 · PMC13053053 · Cancer research · 2026 · 7 claims · 7 setups

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  scVital is a variational autoencoder with an adversarially trained discriminator that embeds scRNA-seq data from different species into a species-agnostic latent space to overcome batch effect.

  pbmc normal pancreatic lung scrna-seq

• Robust and efficient annotation of cell states through gene signature scoring.

  PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups

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  Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.

  pbmc colorectal esophageal crc scrna-seq cross-implementation signature

• Single-nucleus multiple-organ chromatin accessibility landscape in the adult rat.

  PMID 41632074 · PMC12954174 · GigaScience · 2026 · 8 claims · 5 setups

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  Generated a multi-organ snATAC-seq atlas of 9 adult rat organs comprising 25 libraries and over 110,000 cells

  organs publicly snatac-seq group-level snatac-seq scrna-seq gene