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).

• Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.

  PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 7 claims · 7 setups

  Has reproduction · 68

  CEP120 and SPDL1 are fibrosis-related diagnostic genes for IDD, identified via a random forest model from 29 differentially expressed fibrosis-related genes

  blood gse150408 prediction pbmcs bulk machine roc

• Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.

  PMID 39355255 · PMC11442245 · Frontiers in immunology · 2024 · 8 claims · 8 setups

  Has reproduction · 69

  66 consensus immunotherapy prognostic genes (CITPGs) were identified from the intersection of WGCNA modules, immunotherapy responder-vs-non-responder DEGs, and tumor-vs-normal DEGs

  melanoma tcga-skcm prjeb23709 microarray wgcna differential consensus

• Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.

  PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups

  Has reproduction · 86

  A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.

  known tnbc unique unknown gene machine term

• Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.

  PMID 39152432 · PMC11328457 · Journal of translational medicine · 2024 · 7 claims · 8 setups

  Has reproduction · 42

  PAAD tumors can be consensus-clustered into immunologically hot and cold subtypes based on CIBERSORT-derived immune cell fractions, with significantly different survival outcomes.

  paad degs bulk consensus tumor

• 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

• Clustering and machine learning-based integration identify cancer associated fibroblasts genes' signature in head and neck squamous cell carcinoma.

  PMID 37065499 · PMC10098459 · Frontiers in genetics · 2023 · 8 claims · 8 setups

  Has reproduction · 63

  Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes

  hnscc combined gse164690 tcga-hnsc ssgsea unsupervised immune

• Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

  PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups

  Full-text index only

  An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions

  serum computational kda spin-column seldi-tof supervised peptide

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

  Full-text index only

  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• Ab initio identification of human microRNAs based on structure motifs.

  PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups

  Full-text index only

  MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence

  genome mirna hairpins chromosome secondary linear five-fold

• Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.

  PMID 40520228 · PMC12162626 · Frontiers in genetics · 2025 · 8 claims · 8 setups

  Has reproduction · 49

  ENTPD1, SERPINA1, and TACSTD2 are potential transcriptomic biomarkers for PTC

  ptc degs key bulk kegg weighted

• 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

• iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data.

  PMID 35899080 · PMC9310080 · NAR genomics and bioinformatics · 2022 · 8 claims · 4 setups

  Has reproduction · 58

  iCOMIC provides a GUI-driven, Snakemake-based pipeline integrating multiple tools for DNA-Seq and RNA-Seq analysis with minimal command-line interaction.

  giab monocyte missense somatic germline rna-seq machine

• Social complexity, life-history and lineage influence the molecular basis of castes in vespid wasps.

  PMID 36828829 · PMC9958023 · Nature communications · 2023 · 8 claims · 7 setups

  Has reproduction · 52

  A shared genetic toolkit of caste-associated genes exists across vespid wasp species spanning different levels of social complexity

  vespid single-copy brain caste-biased bulk orthology principal

• Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

  PMID 17486137 · PMC2673710 · Molecular systems biology · 2007 · 8 claims · 7 setups

  Full-text index only

  Global MudPIT-based proteomic profiling across six mouse lung developmental time points (E13.5–P56) identifies thousands of proteins and captures developmental/cell-biological expression patterns.

  lung analysis embryonic homologues shotgun microarray k-nearest

• Extraction of human kinase mutations from literature, databases and genotyping studies.

  PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups

  Full-text index only

  A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text

  pubmed large labeled swissprot literature supervised comparative

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

  Full-text index only

  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.

  PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups

  Has reproduction · 44

  DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection

  nasopharyngeal same dygaf-ranked bulk differential random

• A Decentralized Kidney Transplant Biopsy Classifier for Transplant Rejection Developed Using Genes of the Banff-Human Organ Transplant Panel.

  PMID 35619722 · PMC9128066 · Frontiers in immunology · 2022 · 6 claims · 6 setups

  Has reproduction · 90

  A random forest model trained solely on B-HOT panel genes (B-HOT Model) accurately classifies kidney transplant biopsies as NR, ABMR, or TCMR.

  kidney gene combined microarray machine sequential

• Large-scale structural analysis of the core promoter in mammalian and plant genomes.

  PMID 16049029 · PMC1181242 · Nucleic acids research · 2005 · 8 claims · 7 setups

  Full-text index only

  DNA encodes at least two independent levels of functional information: protein/TF-binding sequence information and physical/structural properties of the molecule itself.

  core-promoter arabidopsis rice computational adaptive linear