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).
-
Full-text index only
The integrated world of functional genomics.
PMID 12537543 · PMC151279 · Genome biology · 2003 · 8 claims · 8 setups
Integrating chromatin immunoprecipitation (promoter-binding) data with expression data reveals the yeast cell-cycle transcriptional regulatory network, including network motifs such as autoregulation, multi-component loops, and feedforward loops.
-
Has reproduction · 84
AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomas.
PMID 36134663 · PMC9675486 · JCI insight · 2022 · 8 claims · 8 setups
An AI-guided Boolean network approach (BoNE) models transcriptomic continuum states of normal esophagus, BE, and EAC to derive classifier gene signatures
-
Has reproduction · 98
maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.
PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups
maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors
-
Full-text index only
Non-linear mapping for exploratory data analysis in functional genomics.
PMID 15661072 · PMC548129 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A relaxation method for non-linear mapping adapts one pair of points per step rather than all points at once, and was originally shown by Chang and Lee to outperform Sammon's mapping in cluster detection effectiveness and computational efficiency.
-
Full-text index only
With the finished human genome in hand, what next?
PMID 12844356 · PMC193627 · Genome biology · 2003 · 8 claims · 8 setups
Gene Ontology (GO) provides a syntax/query framework for functional classification of genes, expanding beyond E. coli origins into anatomy, pathology, and phenotype data.