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).
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Has reproduction · 69
Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.
PMID 39355255 · PMC11442245 · Frontiers in immunology · 2024 · 8 claims · 8 setups
66 consensus immunotherapy prognostic genes (CITPGs) were identified from the intersection of WGCNA modules, immunotherapy responder-vs-non-responder DEGs, and tumor-vs-normal DEGs
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Has reproduction · 100
Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma.
PMID 34654806 · PMC8519947 · Nature communications · 2021 · 7 claims · 4 setups
Pathway-based signatures derived from on-treatment tumor specimens (PASS-ON) are highly predictive of response to anti-PD1 blockade in metastatic melanoma, achieving validation AUCs of 0.85–0.89.
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Has reproduction
Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.
PMID 39682743 · PMC11640164 · Cells · 2024 · 7 claims · 4 setups
Immune-activation-related T-cell populations (APA, TRM, stem-like, early/late dysfunctional T-cells) are more heavily infiltrated in ICI-responsive malignancies (melanoma, bladder) than in poorly responsive ones (ovarian, pancreatic).
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Genome-wide siRNA-based functional genomics of pigmentation identifies novel genes and pathways that impact melanogenesis in human cells.
PMID 19057677 · PMC2585813 · PLoS genetics · 2008 · 7 claims · 8 setups
Genome-wide siRNA screening identified 92 novel genes that support melanin production in human melanocytes with a low false discovery rate.
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Has reproduction
Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.
PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 7 claims · 8 setups
Tabular ML classifiers (TabNet, XGBoost, LightGBM) trained on tumor-only-derived features achieve state-of-the-art somatic vs germline classification, with AUC>94% on TCGA holdout and AUC>85% on metastatic melanoma.
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Towards precise classification of cancers based on robust gene functional expression profiles.
PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups
Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets
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Has reproduction · 81
Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.
PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups
SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains
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Has reproduction · 87
Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.
PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups
Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)