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).

Publications 1.3k Datasets 392.5k Experiments 9

System / cell line: combined ✕ Assay: classifier ✕ Clear

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

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

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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
In silico analysis of missense substitutions using sequence-alignment based methods.

PMID 18951440 · PMC3431198 · Human mutation · 2008 · 8 claims · 7 setups

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

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

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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
Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.

PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups

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None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.

ensembl swissprot same structural foldx side
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
Cross species genomic analysis identifies a mouse model as undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma.

PMID 19956606 · PMC2779485 · PloS one · 2009 · 8 claims · 7 setups

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A 100-gene signature from LSL-KrasG12D;Trp53Flox/Flox mouse sarcomas (vs normal muscle) is specifically and significantly enriched in human MFH but not other soft tissue sarcoma subtypes across three independent human datasets.

lsl-krasg12d soft combined mfh microarray gene oncogenic
Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups

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Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes

pubmed genes same randomly geneseeker evoc disease
Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival.

PMID 18778477 · PMC2553089 · BMC medicine · 2008 · 7 claims · 7 setups

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A custom BOAC SNP panel of 3404 SNPs in 983 genes was developed using the Affymetrix GeneChip Targeted Genotyping Platform, focused on non-synonymous coding SNPs and regulatory-region SNPs in candidate genes.

coriell myeloma duplicate snp targeted genotyping machine

Experiments

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

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

In silico analysis of missense substitutions using sequence-alignment based methods.

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

Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.

Ab initio identification of human microRNAs based on structure motifs.

Cross species genomic analysis identifies a mouse model as undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma.

Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival.