Machine learning analysis of RNA-Seq data to de-risk repositioning of existing FDA-approved drugs

October 30, 2018 Leave a comment 1,289 Views

AMPEL BioSolutions announced proof-of-principle for a multi-pronged approach to rank small molecules and biologics for safe, effective treatment of patients with Systemic Lupus Erythematosus (SLE) and...

Mapping eQTLs With RNA-Seq reveals a more comprehensive set of eQTLs and illuminates underlying molecular consequence missed by microarrays

September 28, 2016 Leave a comment 4,141 Views

Studies attempting to functionally interpret complex-disease susceptibility loci by GWAS and eQTL integration have predominantly employed microarrays to quantify gene-expression. RNA-Seq has the potential to discover a more comprehensive set of eQTLs and illuminate the underlying molecular consequence. Researchers from ...

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Machine learning analysis of RNA-Seq data to de-risk repositioning of existing FDA-approved drugs

Mapping eQTLs With RNA-Seq reveals a more comprehensive set of eQTLs and illuminates underlying molecular consequence missed by microarrays

Introducing BGI’s Dr. Tom System – An Advanced and Intuitive RNA Data Visualization and Analysis System for Easy and Efficient Research and Discovery

Single-cell RNA sequencing provides a breakthrough for tomorrow’s dentistry

Upcoming Webinar – Explore chronic liver disease gene expression data

Sources of variation in cell-type RNA-Seq profiles

Grant will fund single-cell RNA sequencing study of link between senescence and Parkinson’s disease

A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer’s disease

Single-cell analysis reveals fibroblast clusters linked to immunotherapy resistance in cancer