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).

• Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.

  PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups

  Has reproduction · 59

  The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance

  merged gse45827 superior differential feature comparative

• CanPredict: a computational tool for predicting cancer-associated missense mutations.

  PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups

  Full-text index only

  CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated

  missense observed sjoblom refseq cross-validation recurrence comparative

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

  Full-text index only

  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• 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

• Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

  PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups

  Full-text index only

  MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.

  engineered p53 computational yeast-based regional homology

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups

  Has reproduction · 62

  A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.

  breast degs geo tcga gene protein-protein machine

• Constructing support vector machine ensembles for cancer classification based on proteomic profiling.

  PMID 16689692 · PMC5173238 · Genomics, proteomics & bioinformatics · 2005 · 7 claims · 4 setups

  Full-text index only

  CSVME, built by selecting a subset of base SVMs via SVM-RFE ranking and fusing them with a trained upper-layer SVM, achieves better classification performance than an ensemble of all base SVMs.

  serum computational seldi-tof svm-rfe-based 10-fold

• Gut-derived Lactobacillus from exceptional responders mitigates chemoradiotherapy-induced intestinal injury through methionine-driven epigenetic modulation.

  PMID 40469520 · PMC12130557 · iMeta · 2025 · 8 claims · 8 setups

  Has reproduction · 89

  High pretreatment gut abundance of Lactobacillus (and Bifidobacterium) is strongly associated with the absence of ACRIII in rectal cancer patients undergoing neoadjuvant chemoradiotherapy.

  baseline model mice intestinal shotgun fecal intestinal

• Integrating complex genomic datasets and tumour cell sensitivity profiles to address a 'simple' question: which patients should get this drug?

  PMID 20003409 · PMC2799438 · BMC medicine · 2009 · 8 claims · 5 setups

  Full-text index only

  A panel of 48 genomically characterized breast cancer cell lines can model patient tumour heterogeneity to identify biomarkers predicting response to PG-11047

  panel breast 250-gene candidate genome growth pathway

• Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility.

  PMID 26969729 · PMC4812528 · Molecular systems biology · 2016 · 7 claims · 6 setups

  Has reproduction · 67

  Cell adhesion (cell-cell and cell-ECM) pathways are significantly and consistently dysregulated in women who develop familial breast cancer across multiple omic data types and tissues.

  peripheral pbmcs normal snap-frozen gene exome western

• High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer.

  PMID 17925008 · PMC2246289 · Genome biology · 2007 · 7 claims · 8 setups

  Full-text index only

  A novel subtype of high-grade ER-negative breast cancer exists, characterized by a low genomic instability index (GII)

  breast computational array-cgh gene bac

• 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

• Interpretation of genomic data: questions and answers.

  PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups

  Full-text index only

  The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.

  genetically wound tumor breast gene expression comparative

• BRCA1 and BRCA2 missense variants of high and low clinical significance influence lymphoblastoid cell line post-irradiation gene expression.

  PMID 18497862 · PMC2375115 · PLoS genetics · 2008 · 8 claims · 6 setups

  Full-text index only

  BRCA1 and BRCA2 pathogenic mutation carriers have similar post-irradiation LCL gene expression profiles to each other, more so than to BRCAX samples without an LCS variant

  lymphoblastoid lcl gene microarray unsupervised t-test