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).

• 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

• 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

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

  Full-text index only

  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate

• Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.

  PMID 26286638 · PMC4541321 · Scientific reports · 2015 · 6 claims · 4 setups

  Has reproduction · 76

  DRW-GM integrates gene expression and metabolomic profiles via directed random walk on a global gene–metabolite pathway graph to weight genes by topological importance and infer reproducible pathway activities

  prostate global gene metabolomic computational

• Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.

  PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups

  Has reproduction · 59

  Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort

  pancreatic rna-seq liver tumor bulk machine multi-label

• Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.

  PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 7 setups

  Has reproduction · 72

  edgeR identifies 9 DEGs associated with pCR and 13 DEGs associated with relapse from 579 immune genes in a small TNBC sample set (n=55)

  ffpe same nanostring training nanostring immunohistochemistry differential

• In silico segmentations of lentivirus envelope sequences.

  PMID 17376229 · PMC1847453 · BMC bioinformatics · 2007 · 8 claims · 8 setups

  Full-text index only

  C and V regions of lentivirus SU sequences have distinct statistical (oligonucleotide/amino-acid) compositions that HMMs can learn and use to delimit them.

  eiav hiv hmm-based hmm artificial

• M6A-mediated molecular patterns and tumor microenvironment infiltration characterization in nasopharyngeal carcinoma.

  PMID 38532632 · PMC10978033 · Cancer biology & therapy · 2024 · 8 claims · 8 setups

  Has reproduction · 76

  NPC samples can be divided into two distinct m6A-related molecular subclasses based on prognostic m6A regulators

  npc reep2 bulk genome immune

• Combining evidence of preferential gene-tissue relationships from multiple sources.

  PMID 23950964 · PMC3741196 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 53

  A high-level integration approach combining three methods across four human microarray datasets, merged by consensus voting and a rule-based inner/total score, predicts preferentially expressed genes while reducing method- and study-specific bias.

  normal four microarray genes microarray computational bayes

• MALDI profiling of human lung cancer subtypes.

  PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups

  Full-text index only

  PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes

  lung tryptic peak ffpe maldi-tof parallel stepwise

• Metabolomic profiling in LRRK2-related Parkinson's disease.

  PMID 19847307 · PMC2761616 · PloS one · 2009 · 7 claims · 3 setups

  Full-text index only

  Metabolomic profiles of both idiopathic PD and LRRK2 PD are clearly separated from controls

  plasma preprocessed untargeted targeted pls-da

• Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.

  PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 48

  A hybrid signature combining the Nottingham Prognostic Index with SIS-selected gene expressions can be built in a data-driven fashion (NPI treated as a gene expression during feature selection).

  metabric scan-b gene rna-seq feature

• Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

  PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups

  Has reproduction · 83

  CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile

  cancer clinical training independent methylation upgma random

• Identification of a novel lncRNA prognostic signature and analysis of functional lncRNA AC115619.1 in hepatocellular carcinoma.

  PMID 37614318 · PMC10442647 · Frontiers in pharmacology · 2023 · 8 claims · 8 setups

  Has reproduction · 87

  A six-lncRNA prognostic signature (LINC02428, LINC02163, AC008549.1, AC115619.1, CASC9, LINC02362) predicts overall survival in HCC patients

  hcc tcga paired snu-449 lncrna sequencing univariate

• Optimality driven nearest centroid classification from genomic data.

  PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups

  Full-text index only

  A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).

  artificial simulated previously-published simulated simulation clinical

• Forseti: a mechanistic and predictive model of the splicing status of scRNA-seq reads.

  PMID 38940130 · PMC11256924 · Bioinformatics (Oxford, England) · 2024 · 7 claims · 5 setups

  Has reproduction · 87

  Forseti is the first probabilistic model for resolving the splicing status of exonic scRNA-seq reads by scoring putative fragments linking read alignments to proximate priming sites

  training simulated held-out paired-end cubic mlp

• 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

• The molecular characterization and clinical management of multiple myeloma in the post-genome era.

  PMID 19657360 · PMC3686133 · Leukemia · 2009 · 8 claims · 8 setups

  Full-text index only

  GEP identifies distinct molecular subgroups of MM associated with differing clinical features and survival outcomes

  myeloma cd138-immunomagnetically plasma bone-marrow filter-based gene-expression targeted

• Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer.

  PMID 19689818 · PMC2743709 · BMC cancer · 2009 · 7 claims · 3 setups

  Full-text index only

  The previously reported classifier (m/z 8,132 and 4,002) failed to discriminate CRC patients from healthy volunteers in this independent validation cohort

  serum pooled seldi-tof comparative decision

• Development of proteomic patterns for detecting lung cancer.

  PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups

  Full-text index only

  A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls

  serum pooled seldi-tof-ms decision reproducibility