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).

• MILANO--custom annotation of microarray results using automatic literature searches.

  PMID 15661078 · PMC547913 · BMC bioinformatics · 2005 · 7 claims · 4 setups

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  MILANO annotates microarray gene lists by counting literature co-occurrences of each gene with user-defined secondary terms

  well-known list over-producing known medline generif microarray

• A simple and robust method for connecting small-molecule drugs using gene-expression signatures.

  PMID 18518950 · PMC2464610 · BMC bioinformatics · 2008 · 8 claims · 4 setups

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  A new method for building reference gene-expression profiles and scoring/testing connections improves on the original Connectivity Map by enabling statistical significance testing of connections.

  lines random gene-expression connectivity

• Mining expressed sequence tags identifies cancer markers of clinical interest.

  PMID 17078886 · PMC1635568 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  An EST-mining approach (Fisher Exact Test on tumor vs. non-tumor library hit counts) identifies differentially expressed transcripts with an estimated false discovery rate below 22% when human and mouse screens are combined.

  dbest cancer gene est human-mouse leave-one-out

• CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning.

  PMID 41481570 · PMC12758788 · PLoS computational biology · 2026 · 8 claims · 7 setups

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  CellPredX is a unified semi-supervised framework integrating domain adaptation and deep metric learning to align heterogeneous embeddings for cross-modality cell type annotation.

  pbmc fetal pancreas gse149683 matched unmatched cross-protocol

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.

  PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 8 setups

  Has reproduction · 50

  A 186-gene signature predictive of nCRT response was derived from integrating six GEO transcriptomic datasets using machine learning.

  pre-treatment combined larc 186-gene differential machine molecular

• A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy.

  PMID 18302764 · PMC2276496 · BMC genomics · 2008 · 8 claims · 6 setups

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  A novel non-parametric meta-analysis approach for combining independent microarray datasets is presented, requiring no distributional assumptions and being logically intuitive.

  kidney same identified additional microarray significance fisher's

• Putting proteins in one place.

  PMID 12790144 · PMC1316915 · Environmental health perspectives · 2003 · 8 claims · 7 setups

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  Rapamycin inhibits TOR, causing the silencing protein Sir3 to detach from chromatin at stress-response genes, triggering a coordinated multigene stress response that halts cancer cell proliferation

  saccharomyces yeast vascular skin chemical chromatin microarray

• Pathway-specific canalization and plasticity of gene expression during C. elegans dauer development.

  PMID 41890963 · PMC13014971 · iScience · 2026 · 8 claims · 7 setups

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  Dauers induced by different environmental (starvation, pheromone, heat) or genetic (daf-2, daf-7, ilc-17.1, cep-1 OE) stimuli are transcriptionally distinct from each other and from continuously developing WT L2/L3 and adults

  elegans bulk principal likelihood

• Metagenomic Comparison of Bat Colony Resistomes Across Anthropogenic and Pristine Habitats.

  PMID 41594088 · PMC12838372 · Antibiotics (Basel, Switzerland) · 2026 · 8 claims · 7 setups

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  Anthropogenic exposure enhances the diversity and evenness of resistance mechanisms within bat-associated microbiomes, increasing their potential as AMR reservoirs.

  bat mag-derived shotgun metagenome arg

• Crunching the bio-numbers.

  PMID 14664241 · PMC1316909 · Environmental health perspectives · 2003 · 8 claims · 6 setups

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  The eTag Assay System rapidly identifies genes and related proteins without complex sample preparation or follow-up bioinformatics, unlike microarrays

  blood model brain lung etag sirna addl

• Macrophages on the run: Exercise balances macrophage polarization for improved health.

  PMID 39476967 · PMC11585839 · Molecular metabolism · 2024 · 8 claims · 7 setups

  Has reproduction · 81

  Immediate/acute exercise triggers an M1 (pro-inflammatory) macrophage polarization surge.

  gene affymetrix pooled muscle meta-analysis stepminer gene

• The 1000 Chinese Pangenome empowers medical and population genetics.

  PMID 41922767 · PMC13233627 · Nature · 2026 · 8 claims · 8 setups

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  1,116 diploid genome assemblies (55 de novo, 1,061 pangenome-informed) were generated as part of the 1KCP project

  genomic diploid benchmark illumina pacbio hi-c

• Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.

  PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups

  Has reproduction · 80

  Combining WGCNA hub genes and VAE 10-dimensional representation as features for an SVM classifier achieves high accuracy in predicting CRC

  colorectal same combined meturquoise microarray differential batch

• Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

  PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups

  Has reproduction · 32

  Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)

  tcga geo rna-seq methylation sequencing

• SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.

  PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 6 claims · 5 setups

  Has reproduction · 77

  SurvConvMixer, using pathway-level gene expression images and ConvMixer, achieves strong internal validation AUC for overall survival prediction, especially on larger datasets like LUAD

  luad lusc skcm trained deep benchmark model

• Proteomic view of mitochondrial function.

  PMID 18331620 · PMC2374722 · Genome biology · 2008 · 8 claims · 8 setups

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  Most modulators of basal mitochondrial function identified in the Drosophila RNAi screen are located outside the mitochondrion, since only 17 of 152 hits had a clear mitochondrial function.

  drosophila saccharomyces caenorhabditis yeast genome-wide phenotypic morphology

• Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.

  PMID 30578418 · PMC6365102 · Nature genetics · 2019 · 7 claims · 8 setups

  Has reproduction

  208 novel common blood pressure SNPs and 53 rare variants were discovered in GWASs of SBP, DBP and pulse pressure in up to 776,078 participants from MVP and collaborating studies.

  multi-ethnic mvp tissues kidney genome-wide exome transcriptome-wide

• Function2Gene: a gene selection tool to increase the power of genetic association studies by utilizing public databases and expert knowledge.

  PMID 18631403 · PMC2500032 · BMC bioinformatics · 2008 · 6 claims · 5 setups

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  Function2Gene is a set of Perl programs that queries public databases (NCBI, GeneCards, Harvester, with Uniprot/Ensembl also supported) using expert-selected keywords to rank genes by prior probability of disease association.

  gene nuclear sle tdt keyword-based snp transmission

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.

  hepatocellular breast sporadic geo gene differential interaction