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).

• 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

• Genomic and proteomic approaches for studying human cancer: prospects for true patient-tailored therapy.

  PMID 15601541 · PMC3525069 · Human genomics · 2004 · 8 claims · 6 setups

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  DNA microarray gene expression profiling generates robust molecular classifications for many tumour types (brain, breast, colon, gastric, kidney, leukaemia, lymphoma, lung, melanoma, ovary, prostate, etc.)

  breast sars serum tumour microarray custom mass

• Assignment of Streptococcus agalactiae isolates to clonal complexes using a small set of single nucleotide polymorphisms.

  PMID 18710585 · PMC2533671 · BMC microbiology · 2008 · 7 claims · 6 setups

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  A four-SNP set (glnA36, glnA429, glcK180, adhP111) identified via the Not-N algorithm plus empirical testing divides GBS into 10 groups concordant with eBURST-defined population structure.

  gbs clinical bioinformatic eburst kinetic

• An integrated genomic analysis of human glioblastoma multiforme.

  PMID 18772396 · PMC2820389 · Science (New York, N.Y.) · 2008 · 8 claims · 7 setups

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  IDH1 is recurrently mutated at its active site (R132) in 12% of GBM patients, a previously unrecognized alteration in GBM.

  gbm additional missense exome targeted snp

• 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