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).

• Optimality driven nearest centroid classification from genomic data.

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

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  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

• In silico segmentations of lentivirus envelope sequences.

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

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  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

• QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.

  PMID 17341461 · PMC1874617 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  QuantiSNP (OB-HMM) provides probabilistic quantification of copy number states and significantly improves accuracy of segmental aneuploidy identification and breakpoint mapping relative to existing tools (BeadStudio/Illumina)

  genomic same pseudo-normal artificially snp fish molecular

• Development of animal models to test the fundamental basis of gene-environment interactions.

  PMID 19037209 · PMC2703424 · Obesity (Silver Spring, Md.) · 2008 · 8 claims · 8 setups

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  Selective breeding for low and high intrinsic aerobic treadmill running capacity produced divergent rat lines (LCR and HCR) that contrast in propensity for complex disease

  nih-derived lcr carotid treadmill body maximal

• Cataloging coding sequence variations in human genome databases.

  PMID 18974781 · PMC2570488 · PloS one · 2008 · 8 claims · 7 setups

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  A significant proportion of CVs overlap between HGMD and dbSNP (4.36% of HGMD CVs registered in dbSNP; 8.11% of dbSNP CVs registered in HGMD), warranting caution when interpreting phenotypic relevance of concurrent CVs.

  coding hapmap concurrent nssnps database hapmap amino

• Endurance exercise as a countermeasure for aging.

  PMID 18716044 · PMC2570389 · Diabetes · 2008 · 8 claims · 8 setups

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  Reduced insulin sensitivity with age is likely related to adiposity and physical inactivity rather than being an inevitable consequence of aging.

  vastus mitochondria mitochondrial extracted euglycemic-hyperinsulinemic mitochondrial citrate

• Machine-learning approaches for classifying haplogroup from Y chromosome STR data.

  PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups

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  Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information

  globally same computational publicly y-str snp supervised

• Predicting failure rate of PCR in large genomes.

  PMID 18492719 · PMC2441781 · Nucleic acids research · 2008 · 7 claims · 8 setups

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  The number of predicted primer-binding sites in genomic DNA is the most important factor determining PCR failure.

  genomic genome pcr combined large-scale exact-match mismatch-tolerant

• A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.

  PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups

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  A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types

  maqc hepatocytes japanese illeum microarray dasl sequence

• MALDI profiling of human lung cancer subtypes.

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

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  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

• Urinary proteomic profiling for diagnostic bladder cancer biomarkers.

  PMID 19811072 · PMC3422861 · Expert review of proteomics · 2009 · 8 claims · 8 setups

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  Single protein biomarkers (e.g., NMP-22, BTA) suffer from high false-positive rates and none have replaced cystoscopy or cytology for bladder cancer detection.

  urine page gel 2d-dige

• 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

• omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.

  PMID 41582216 · PMC12837286 · Genome biology · 2026 · 8 claims · 6 setups

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  omnideconv is an R package providing a unified interface to twelve second-generation deconvolution methods (AutoGeneS, BayesPrism, Bseq-SC, Bisque, CDseq, CIBERSORTx, CPM, DWLS, MOMF, MuSiC, SCDC, Scaden)

  blood-derived pbmc blood spleen bulk scrna-seq pseudo-bulk

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk

• 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

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  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

• Comprehensive benchmarking of large language models for RNA secondary structure prediction.

  PMID 40205851 · PMC11982019 · Briefings in bioinformatics · 2025 · 7 claims · 4 setups

  Has reproduction · 88

  Existing RNA-LLMs had not previously been evaluated for secondary structure prediction in a unified, fair experimental setup with the same datasets and prediction model.

  archiveii bprna large-scale secondary cross-family self-supervised

• Review of state Comprehensive Cancer Control plans for genomics content.

  PMID 15888219 · PMC1327702 · Preventing chronic disease · 2005 · 8 claims · 2 setups

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  18 of 30 state CCC plans analyzed contained genomics-related components, with wide variability in content

  written ccc content semistructured

• The UCSC genome browser database: update 2007.

  PMID 17142222 · PMC1669757 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  The UCSC Genome Browser Database provides sequence and annotation data for 13 vertebrate and 19 invertebrate species as of September 2006.

  hg17 genome lines xenopus comparative snp linkage

• MACanalyzeR scRNAseq analysis tool reveals PPARγ(HIGH)/GDF15(HIGH) lipid-associated macrophages facilitate thermogenic expansion in BAT.

  PMID 40450001 · PMC12126529 · Nature communications · 2025 · 8 claims · 8 setups

  Has reproduction · 70

  MACanalyzeR is a novel computational scRNAseq framework (with FoamSpotteR, MacPolarizeR, and PathAnalyzeR modules) for comprehensive monocyte/macrophage metabolic and phenotypic profiling

  bat stromal paraffin-embedded aortic bulk proteomics scrnaseq

• 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