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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SNAP predicts effect of mutations on protein function.
PMID 18757876 · PMC2562009 · Bioinformatics (Oxford, England) · 2008 · 8 claims · 3 setups
SNAP is a publicly available web-server implementation predicting functional effects (neutral/non-neutral) of single amino acid substitutions.
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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
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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.
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Has reproduction · 75
ResnetAge: A Resnet-Based DNA Methylation Age Prediction Method.
PMID 38247911 · PMC10813502 · Bioengineering (Basel, Switzerland) · 2023 · 8 claims · 4 setups
ResnetAge, a ResNet-based neural network using 22,278 shared Illumina 27K/450K CpG sites, predicts DNA methylation age from beta values.
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SNAP: predict effect of non-synonymous polymorphisms on function.
PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups
SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function
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Has reproduction · 78
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups
GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.
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High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sites.
PMID 18988630 · PMC2662491 · Nucleic acids research · 2009 · 8 claims · 8 setups
Incorporating H3K4me3 chromatin modification estimates greatly improves the accuracy of in silico prediction of in vivo TF binding for a wide range of TFs in human and mouse
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Has reproduction
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
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.
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Has reproduction · 19
Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma.
PMID 36015199 · PMC9413912 · Pharmaceutics · 2022 · 8 claims · 8 setups
Shared differentially expressed genes link glioblastoma with ischemic stroke and with moyamoya disease, revealing molecular associations among the diseases.
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Have microarrays failed to deliver for developmental biology?
PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups
Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.