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).

• Discovery and identification of potential biomarkers of papillary thyroid carcinoma.

  PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups

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  A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity

  serum hplc-purified trypsin-digested crude seldi-tof-ms solid-phase maldi-tof-ms

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

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

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

  genome mirna hairpins chromosome secondary linear five-fold

• Design and analysis issues in genome-wide somatic mutation studies of cancer.

  PMID 18692126 · PMC2820387 · Genomics · 2009 · 6 claims · 4 setups

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  Two-stage (discovery + validation) sequencing designs efficiently allocate resources and can produce highly informative candidate driver gene lists even with relatively small sample sizes.

  hypothetical panel colorectal germline simulation targeted genome-wide

• Long-range regulation is a major driving force in maintaining genome integrity.

  PMID 19682388 · PMC2741452 · BMC evolutionary biology · 2009 · 7 claims · 5 setups

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  Long-range transcriptional regulation is a major driving force in maintaining genome integrity by constraining where chromosomal breakpoints can become fixed.

  opossum genome comparative identification statistical

• Exogean: a framework for annotating protein-coding genes in eukaryotic genomic DNA.

  PMID 16925841 · PMC1810556 · Genome biology · 2006 · 8 claims · 5 setups

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  Exogean is a framework using directed acyclic coloured multigraphs (DACMs) to represent biological objects (mRNA, ESTs, protein alignments, exons) and iteratively combine them into complex protein-coding transcript models.

  genome sequences automatic manual sequence

• Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment.

  PMID 37471455 · PMC10393163 · PLoS computational biology · 2023 · 8 claims · 8 setups

  Has reproduction · 100

  A network-based meta-analysis across studies identifies a common 45-gene signature specific to active TB disease that accounts for cohort/population heterogeneity

  n×m common independent viral blood gene random

• MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.

  PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs

  real combined pre-mirna training random independent repeated

• Qualitative Transcriptional Signature for the Pathological Diagnosis of Pancreatic Cancer.

  PMID 33173782 · PMC7538791 · Frontiers in molecular biosciences · 2020 · 8 claims · 7 setups

  Has reproduction · 71

  A 12-gene-pair (17-gene) REO-based signature discriminates PC and cancer-adjacent normal tissue from non-tumor (healthy/pancreatitis) pancreatic tissue.

  pancreatic normal pooled microarray rna-sequencing roc

• 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

• Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.

  PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups

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  Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.

  serum frozen ig-depleted clinical seldi-tof maldi lc-ms

• Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.

  PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups

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  A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.

  pre-mirnas test conserved-hairpin cross-species secondary svm cross-species

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• Using ESTs to improve the accuracy of de novo gene prediction.

  PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups

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  TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome

  elegans genome chromosome novo gene partial

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

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

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  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

• Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach.

  PMID 18834544 · PMC2575220 · BMC bioinformatics · 2008 · 8 claims · 8 setups

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  128 discriminating 4-mer motifs combined with an SVM (RBF kernel, LIBSVM) can distinguish promoter from non-promoter DNA sequences

  plant drosophila promoter same 4-mer tata blast

• Construction and Validation of an Immune Infiltration-Related Gene Signature for the Prediction of Prognosis and Therapeutic Response in Breast Cancer.

  PMID 33986754 · PMC8110914 · Frontiers in immunology · 2021 · 7 claims · 8 setups

  Has reproduction · 51

  A 15-gene immune infiltration-related signature (IRS) predicts overall survival in breast cancer, with higher IRS indicating worse prognosis

  tcga metabric geo breast immune bulk microarray

• Filtering high-throughput protein-protein interaction data using a combination of genomic features.

  PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.

  saccharomyces bank caenorhabditis homo yeast mass naive

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

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

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  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

• The cancer secretome: a reservoir of biomarkers.

  PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups

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  Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics

  a549 m-be sw480 neoplastic 2-de dige icat

• A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.

  PMID 19861443 · PMC2783430 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2009 · 8 claims · 8 setups

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  A genomic signature derived from CLL patient leukemic cells significantly differentiates stable from progressive disease

  duke nci-60 mayo spanish gene cdna igvh