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).
-
Full-text index only
Wiggle-predicting functionally flexible regions from primary sequence.
PMID 16839194 · PMC1500818 · PLoS computational biology · 2006 · 7 claims · 6 setups
A GNM-derived, correlation-weighted 'FF score' can objectively define functionally flexible regions (FFRs) that match experimentally confirmed flexible/functional regions (hinges, recognition loops, catalytic loops).
-
Full-text index only
A statistical change point model approach for the detection of DNA copy number variations in array CGH data.
PMID 19875853 · PMC4154476 · IEEE/ACM transactions on computational biology and bioinformatics · 2009 · 7 claims · 4 setups
A novel mean and variance change point model (MVCM) is proposed to detect CNVs/breakpoints in aCGH data.
-
Full-text index only
Visualization-based discovery and analysis of genomic aberrations in microarray data.
PMID 15953389 · PMC1181623 · BMC bioinformatics · 2005 · 8 claims · 7 setups
ChARMView integrates dynamic visualization with automated statistical analysis (EM-based breakpoint detection, one-sample sign test, permutation mean test) to discover chromosomal aberrations from array CGH and gene expression data
-
Full-text index only
Exploiting noise in array CGH data to improve detection of DNA copy number change.
PMID 17272296 · PMC1994778 · Nucleic acids research · 2007 · 7 claims · 4 setups
When aberrations are present, noise in BAC, 19k oligo, and 385k oligo array-CGH data is highly non-Gaussian and shows long-range spatial correlations.
-
Full-text index only
A statistical approach for array CGH data analysis.
PMID 15705208 · PMC549559 · BMC bioinformatics · 2005 · 8 claims · 4 setups
Existing model-selection criteria (AIC, BIC, and prior ad hoc penalties) are not well adapted to estimating the number of segments in array CGH data
-
Full-text index only
Empirical Bayes analysis of quantitative proteomics experiments.
PMID 19829701 · PMC2759080 · PloS one · 2009 · 8 claims · 4 setups
Developed a new empirical Bayes framework that models log2 SILAC protein ratios and is robust to non-Gaussian tails and data sparsity, unlike Gaussian mixture models or Efron's original spline-based approach
-
Has reproduction · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 3 setups
Graph Random Forest (GRF) embeds graph/network information directly into the decision-tree building process by splitting on features in the k-hop neighborhood of a data-driven head-splitting node.
-
Full-text index only
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
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
-
Full-text index only
Large-scale mutagenesis in p19(ARF)- and p53-deficient mice identifies cancer genes and their collaborative networks.
PMID 18485879 · PMC2405818 · Cell · 2008 · 8 claims · 8 setups
A large-scale retroviral insertional mutagenesis screen identified 10,806 insertion sites implicating over 300 loci in tumorigenesis
-
Full-text index only
Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.
PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups
ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.
-
Full-text index only
A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.
PMID 19772600 · PMC2765429 · Journal of translational medicine · 2009 · 7 claims · 3 setups
The naive Bayes model with the wrapper-based feature selection approach performed best among all predictive models tested for distinguishing CFS from controls.
-
Has reproduction · 58
Genomic Correlates of Virulence Attenuation in the Deadly Amphibian Chytrid Fungus, Batrachochytrium dendrobatidis.
PMID 26333840 · PMC4632049 · G3 (Bethesda, Md.) · 2015 · 8 claims · 8 setups
Virulence attenuation in the longer-passaged Bd isolate (JEL427-P39) is associated with loss of chromosome copy number relative to the shorter-passaged, more virulent isolate (JEL427-P9)
-
Full-text index only
Conserved elements with potential to form polymorphic G-quadruplex structures in the first intron of human genes.
PMID 18187510 · PMC2275096 · Nucleic acids research · 2008 · 8 claims · 6 setups
G-richness downstream of the TSS is strand-biased, concentrated on the nontemplate strand, with a peak at +200 to +300 bp
-
Full-text index only
A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.
PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups
Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.
-
Full-text index only
Isoforms of U1-70k control subunit dynamics in the human spliceosomal U1 snRNP.
PMID 19784376 · PMC2747018 · PloS one · 2009 · 8 claims · 8 setups
Native human U1 snRNP shows differential incorporation of four protein isoforms (U1-70k isoforms 1/2, Sm-B/B')
-
Full-text index only
LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise.
PMID 17386085 · PMC1847688 · BMC bioinformatics · 2007 · 7 claims · 4 setups
LIMPIC is a computational method for detecting protein peaks from linear-mode MALDI-TOF-MS data using background noise reduction and baseline removal followed by non-uniform threshold peak detection and multi-spectra detection-rate classification.