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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Proteomic comparison of two-dimensional gel electrophoresis profiles from human lung squamous carcinoma and normal bronchial epithelial tissues.
PMID 15626334 · PMC5172349 · Genomics, proteomics & bioinformatics · 2003 · 8 claims · 5 setups
Well-resolved, reproducible 2-DE profiles of human lung squamous carcinoma and normal bronchial epithelial tissues were obtained under optimized conditions (0.75-mg protein load, TCA precipitation)
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Has reproduction · 45
Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer.
PMID 33584715 · PMC7873865 · Frontiers in immunology · 2020 · 8 claims · 7 setups
Eight distinct T cell populations are identifiable in CRC tumor tissue and seven in peripheral blood by unsupervised clustering of scRNA-seq data.
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Statistical challenges in preprocessing in microarray experiments in cancer.
PMID 18829474 · PMC3529914 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 7 setups
Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset
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Has reproduction · 95
MetaMap: an atlas of metatranscriptomic reads in human disease-related RNA-seq data.
PMID 29901703 · PMC6025204 · GigaScience · 2018 · 6 claims · 7 setups
A two-step 'omni' RNA-seq pipeline (MetaMap) combining STAR human alignment with CLARK-S metagenomic classification can quantify archaeal, bacterial, and viral reads from the non-human read fraction of human RNA-seq data
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A taxonomy of epithelial human cancer and their metastases.
PMID 20017941 · PMC2806369 · BMC medical genomics · 2009 · 8 claims · 6 setups
Unsupervised hierarchical clustering of 1566 primary epithelial tumors yields large tissue-enriched clusters (breast, colon/GI, lung, ovary, kidney) plus smaller prostate, thyroid-kidney, and mixed clusters
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Has reproduction · 77
PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines.
PMID 34093998 · PMC8142020 · Computational and structural biotechnology journal · 2021 · 7 claims · 8 setups
PredTAD, a Gradient Boosting Machine model using epigenomic and genomic features plus neighboring-bin information, classifies 10 kb genomic regions as TAD boundary or non-boundary across normal and breast cancer cell lines.