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 · 90
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics.
PMID 37012480 · PMC10172113 · Nature methods · 2023 · 8 claims · 5 setups
pSCoPE (prioritized precursor selection via MaxQuant.Live) increases sensitivity, data completeness, and proteome coverage more than twofold over shotgun single-cell proteomics
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Has reproduction · 63
Community assessment of methods to deconvolve cellular composition from bulk gene expression.
PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups
Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.
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Has reproduction · 63
RummaGEO: Automatic mining of human and mouse gene sets from GEO.
PMID 39569206 · PMC11573963 · Patterns (New York, N.Y.) · 2024 · 8 claims · 7 setups
RummaGEO is a gene expression signature search engine built from automatically mined human and mouse RNA-seq perturbation studies in GEO
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Has reproduction · 50
Wx: a neural network-based feature selection algorithm for transcriptomic data.
PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups
The Wx algorithm ranks genes by a discriminative index (DI) score representing classification power for distinguishing given groups, enabling intuitive selection of optimal biomarker genes.
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Full-text index only
Searching for SNPs with cloud computing.
PMID 19930550 · PMC3091327 · Genome biology · 2009 · 8 claims · 4 setups
Crossbow combines the Bowtie short-read aligner and SOAPsnp SNP caller into a seamless, automatic Hadoop/MapReduce pipeline for whole-genome resequencing analysis
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.