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).

• SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.

  PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 7 claims · 6 setups

  Has reproduction · 77

  SurvConvMixer reformats KEGG Pathways-in-Cancer gene expression values into pathway-level 2D gene expression images and applies a ConvMixer-based model for overall survival prediction

  luad lung bulk gene machine

• Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.

  PMID 37995291 · PMC10697738 · Bioinformatics (Oxford, England) · 2023 · 7 claims · 6 setups

  Has reproduction · 79

  CLSM6A, a CNN-based model set, predicts single-nucleotide-resolution m6A RNA modification sites across eight cell lines and three tissues in H. sapiens

  clsm6a learned last-layer computational model-based propagation-based

• Prediction of Alzheimer's disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening.

  PMID 33397809 · PMC7826347 · Proceedings of the National Academy of Sciences of the United States of America · 2021 · 8 claims · 7 setups

  Has reproduction · 48

  An AD-specific frameshift single-nucleotide insertion in exon 27 of PLCγ1 substitutes isoleucine 970 to asparagine in the 5xFAD AD mouse model.

  cortex 5xfad forebrain plcγ1 rna-seq rna-seq-based western

• 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

  Has reproduction · 98

  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

  lines hepg2 types single chip-seq omni-atac-seq atac-seq

• ResnetAge: A Resnet-Based DNA Methylation Age Prediction Method.

  PMID 38247911 · PMC10813502 · Bioengineering (Basel, Switzerland) · 2023 · 8 claims · 4 setups

  Has reproduction · 75

  ResnetAge, a ResNet-based neural network using 22,278 shared Illumina 27K/450K CpG sites, predicts DNA methylation age from beta values.

  shared independent methylation resnet comparative

• Comprehensive benchmarking of large language models for RNA secondary structure prediction.

  PMID 40205851 · PMC11982019 · Briefings in bioinformatics · 2025 · 7 claims · 4 setups

  Has reproduction · 88

  Existing RNA-LLMs had not previously been evaluated for secondary structure prediction in a unified, fair experimental setup with the same datasets and prediction model.

  archiveii bprna large-scale secondary cross-family self-supervised

• 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

• Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

  PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups

  Has reproduction · 96

  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.

  peripheral pbmc datasets hg-u133 gene bulk machine

• 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

• In silico analysis of missense substitutions using sequence-alignment based methods.

  PMID 18951440 · PMC3431198 · Human mutation · 2008 · 8 claims · 7 setups

  Full-text index only

  Carefully validated PMSA-based computational algorithms can achieve predictive values of ~75-95% for classifying missense substitutions as pathogenic or neutral.

  clinically sequence curated deep blosum62 sift align-gvgd

• Genome-wide identification of Hfq-regulated small RNAs in the fire blight pathogen Erwinia amylovora discovered small RNAs with virulence regulatory function.

  PMID 24885615 · PMC4070566 · BMC genomics · 2014 · 8 claims · 8 setups

  Has reproduction · 50

  A total of 40 candidate Hfq-dependent sRNAs were identified genome-wide in E. amylovora by combining RNA-seq with a Rho-independent terminator search.

  erwinia intergenic candidate wounded small northern race

• Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.

  PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups

  Has reproduction · 81

  A Random Forest machine-learning approach can predict gene essentiality from in vivo transposon insertion data across multiple yeast species and transposon systems

  cerevisiae pombe albicans hermes acds piggybac

• GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.

  PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups

  Has reproduction · 78

  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.

  clinical tuberculosis registered whole-genome targeted retraining

• Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.

  PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 7 claims · 3 setups

  Has reproduction · 67

  PSPred-ALE, a deep learning predictor using a self-adaptive learning embedding algorithm, automatically extracts contextual sequence features and identifies SARS-CoV-2 phosphorylation sites without feature engineering.

  lung peptide same bulk deep traditional

• Next-generation phenotyping integrated in a national framework for patients with ultrarare disorders improves genetic diagnostics and yields new molecular findings.

  PMID 39039281 · PMC11319204 · Nature genetics · 2024 · 6 claims · 5 setups

  Has reproduction · 87

  A structured multidisciplinary exome sequencing framework established molecular genetic diagnoses in 32% of patients with suspected ultrarare disorders, comprising 370 distinct molecular causes.

  patients exome deep computer-assisted

• In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs.

  PMID 33636127 · PMC7871767 · Cell · 2021 · 8 claims · 8 setups

  Has reproduction · 95

  icSHAPE was used to determine the in vivo and in vitro structural landscape of the SARS-CoV-2 RNA genome in infected Huh7.5.1 cells, plus UTR structures of six other coronaviruses

  huh7.5.1 sars-cov-2 utrs 18s icshape structure deep-learning

• 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

• Unlocking the microbial studies through computational approaches: how far have we reached?

  PMID 36920617 · PMC10016191 · Environmental science and pollution research international · 2023 · 8 claims · 8 setups

  Has reproduction

  Metagenomics enables culture-independent study of microbial communities directly from their natural environments, bypassing the need for clonal isolation.

  clinical bacteriophage vaginal hbv ngs random whole-genome