A Systematic Evaluation of Feature Selection and Classification Algorithms Using Simulated and Real miRNA Sequencing Data

November 5, 2015 Leave a comment 3,986 Views

Sequencing is widely used to discover associations between microRNAs (miRNAs) and diseases. However, the negative binomial distribution (NB) and high dimensionality of data obtained using sequencing can lead to low-power results and low reproducibility. Several statistical learning algorithms have been ...

LaSSO, a strategy for genome-wide mapping of intronic lariats and branch-points using RNA-Seq

April 10, 2014 Leave a comment 11,367 Views

Both canonical and alternative splicing of RNAs is governed by intronic sequence elements and produces transient lariat structures fastened by branch-points within introns. To map precisely the location of branch-points on a genomic scale, researchers at University College London developed ...

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Tag Archives: LaSSO

A Systematic Evaluation of Feature Selection and Classification Algorithms Using Simulated and Real miRNA Sequencing Data

LaSSO, a strategy for genome-wide mapping of intronic lariats and branch-points using RNA-Seq

Learning to predict RNA sequence expressions from whole slide images

CRIC-seq – global profiling of in-situ RNA–RNA contacts associated with a specific RNA-binding protein

Novel machine-learning algorithm creates atlas of cancer with potential as universal diagnostic platform

Long noncoding RNA profiling may be effective for stratification in pediatric AML

spSeudoMap – cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data

SoCube – an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data

Quantabio adds powerful bead booster chemistry to ultra-fast sparQ RNA-Seq HMR kit