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).

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

  Full-text index only

  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative

• SNAP predicts effect of mutations on protein function.

  PMID 18757876 · PMC2562009 · Bioinformatics (Oxford, England) · 2008 · 8 claims · 3 setups

  Full-text index only

  SNAP is a publicly available web-server implementation predicting functional effects (neutral/non-neutral) of single amino acid substitutions.

  mutant insulin neural alanine mutation

• Detection of venous thromboembolism by proteomic serum biomarkers.

  PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups

  Full-text index only

  A neural network-based classifier built from direct MALDI-TOF MS serum protein expression profiles can diagnose VTE with sensitivity/specificity that exceeds D-dimer assays

  serum anova-selected citrated depleted direct artificial d-dimer

• 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

• Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.

  PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups

  Has reproduction

  The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells

  ace2-transfected calu-3 luad ipsc-derived ipa sequencing convolutional

• 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

• Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.

  PMID 37691920 · PMC10485775 · Frontiers in immunology · 2023 · 8 claims · 8 setups

  Has reproduction · 55

  352 DEGs (198 up-regulated, 154 down-regulated) were identified between RPL and control endometrial samples

  endometrial degs hub decidua microarray wgcna machine

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

  PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 6 claims · 5 setups

  Has reproduction · 77

  SurvConvMixer, using pathway-level gene expression images and ConvMixer, achieves strong internal validation AUC for overall survival prediction, especially on larger datasets like LUAD

  luad lusc skcm trained deep benchmark model

• 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

• Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.

  PMID 15207009 · PMC449699 · BMC bioinformatics · 2004 · 8 claims · 8 setups

  Full-text index only

  New classifiers (SVMs, ensembles) and new wavelet-derived (Gabor, Daubechies) features improve recognition of protein subcellular location patterns over the previous neural network approach

  hela automated stepwise training-set-size

• Identification of serum biomarkers for colon cancer by proteomic analysis.

  PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups

  Full-text index only

  Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.

  serum pooled seldi seldi-tof seldi artificial

• Application of machine learning in SNP discovery.

  PMID 16398931 · PMC1955739 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  PolyBayes produces high false-positive SNP predictions even with stringent parameters

  diverse soybean candidate same sts polybayes polyphred

• Peptide bioinformatics: peptide classification using peptide machines.

  PMID 19065810 · PMC7122642 · Methods in molecular biology (Clifton, N.J.) · 2008 · 8 claims · 4 setups

  Full-text index only

  The bio-basis function, which converts peptides into numerical vectors using nongapped pairwise homology alignment scores against indicator peptides, can statistically quantify peptide similarity for classification.

  illustrative query generic synthetic bio-basis orthogonal hyperplane

• MOSAIK: a hash-based algorithm for accurate next-generation sequencing short-read mapping.

  PMID 24599324 · PMC3944147 · PloS one · 2014 · 8 claims · 8 setups

  Has reproduction · 29

  MOSAIK is the only aligner that consistently aligns reads from all major sequencing platforms (Illumina, AB SOLiD, Roche 454, Ion Torrent, Pacific Biosciences SMRT) using the same algorithmic approach.

  simulated million coli illumina short-read mapping neural-network

• A comparative gene co-expression analysis using self-organizing maps on two congener filmy ferns identifies specific desiccation tolerance mechanisms associated to their microhabitat preference.

  PMID 32019526 · PMC7001327 · BMC plant biology · 2020 · 8 claims · 6 setups

  Has reproduction · 62

  Inter-specific differences in vertical distribution/microhabitat preference are associated with distinct dynamics of gene expression during dehydration and rehydration phases

  hymenophyllum caudiculatum annotated rna-seq chlorophyll relative

• 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

  Assembled the largest reference blood gene expression profiling (GEP) dataset for AML to date: 12,029 samples from 105 studies across three platforms.

  peripheral datasets hg-u133 disjoint bulk machine deep

• Evaluation of classification and forecasting methods on time series gene expression data.

  PMID 33156855 · PMC7647064 · PloS one · 2020 · 8 claims · 4 setups

  Has reproduction · 74

  Deep learning based methods generally outperform traditional approaches for time series gene expression classification.

  gene gse6186 time short convolutional

• Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.

  PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups

  Full-text index only

  The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues

  benchmarking same pirsf pdb supervised wrapper sequence

• The current state of proteomics in GI oncology.

  PMID 19104933 · PMC3045515 · Digestive diseases and sciences · 2009 · 8 claims · 8 setups

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  More than 130 exploratory proteomic studies have defined candidate biomarkers in serum, GI fluids, or cancer tissue for GI oncology

  serum laser-capture-microdissected seldi-ms 2-de antibody

• Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma.

  PMID 36015199 · PMC9413912 · Pharmaceutics · 2022 · 8 claims · 7 setups

  Has reproduction · 19

  Glioblastoma, ischemic stroke, and moyamoya disease share molecular biomarkers and pathways indicating a pathological interconnection

  extracellular cortical neural shared rna-seq microarray gene