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).

• Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer.

  PMID 36245985 · PMC9553530 · Journal of oncology · 2022 · 6 claims · 8 setups

  Has reproduction

  A deep learning WSI cluster (three-class mini batch K-means on Inception V3 features) is associated with overall survival (P<0.001) and is an independent prognostic predictor (P=0.031) in BLCA.

  tcga-blca blca tcga deep transfer-learning neural-network

• SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells.

  PMID 20008100 · PMC2836562 · Nucleic acids research · 2010 · 8 claims · 6 setups

  Full-text index only

  SeqBuster is a versatile web-based and stand-alone bioinformatic toolkit for processing and analyzing large-scale small RNA deep sequencing datasets.

  embryonic hesc small sequence adapter

• Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing.

  PMID 36401180 · PMC9673297 · Genetics, selection, evolution : GSE · 2022 · 8 claims · 8 setups

  Has reproduction · 50

  BaseVar + STITCH at 1.0X sequencing depth with a sample size >300 achieves the highest genotyping accuracy among tested imputation strategies (genotype concordance >98.8%, genotype accuracy >0.97).

  angora domesticated candidate low-coverage multivariate principal

• Neuronal Small RNAs Control Behavior Transgenerationally.

  PMID 31178120 · PMC6579485 · Cell · 2019 · 8 claims · 8 setups

  Has reproduction · 49

  Neuron-specific synthesis of RDE-4-dependent small RNAs regulates germline amplified endogenous siRNAs and germline gene expression for multiple generations

  elegans prab-3 dissected worms small sequencing facs

• Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

  PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups

  Has reproduction · 85

  AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.

  gnomad alphafold2-predicted alphscore proteins machine secondary physicochemical