Article

A comprehensive simulation study on classification of RNA-Seq data

2017-08-31

Abstract excerpt

RNA sequencing (RNA-Seq) is a powerful technique for thegene-expression profiling of organisms that uses the capabilities of next-generation sequencing technologies.Developing gene-expression-based classification algorithms is an emerging powerful method for diagnosis, disease classification and monitoring at molecular level, as well as providing potential markers of diseases. Most of the statistical methods propo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 436c422a-420d-59cb-97dd-585039c72e98
DOI: 10.7287/peerj.preprints.2761v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A comprehensive simulation study on classification of RNA-Seq dataDOI 10.7287/peerj.preprints.2761v2Read

Classification of RNA-Seq Data via Bagging Support Vector MachinesSemantic proximity Read

Machine Learning-based state-of-the-art methods for the classification of RNA-Seq dataSemantic proximity Read

Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA–sequencing dataSemantic proximity Read

A Framework for the RNA-Seq Based Classification and Prediction of DiseaseSemantic proximity Read

Introduction to statistical methods for microRNA analysis.Semantic proximity Read

High throughput biological sequence analysis using machine learning-based integrative pipeline for extracting functional annotation and visualizationSemantic proximity Read

lncDIFF: a novel distribution-free method for differential expression analysis of long non-coding RNASemantic proximity Read

Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation.Semantic proximity Read

A new local covariance matrix estimation for the classification of gene expression profiles in RNA-Seq dataSemantic proximity Read

Sample Size Requirements for Machine Learning Classification of Binary Outcomes in Bulk RNA-Seq DataSemantic proximity Read

Correcting Scale Distortion in RNA Sequencing DataSemantic proximity Read

Random forests-based differential analysis of gene sets for gene expression data.Semantic proximity Read