Tag Archives: transcriptome analysis

MINT – a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms

Molecular signatures identified from high-throughput transcriptomic studies often have poor reliability and fail to reproduce across studies. One solution is to combine independent studies into a single integrative analysis, additionally increasing sample size. However, the different protocols and technological platforms ...

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(Post) Graduate Course ‘The Power of RNA-Seq’


Date: February 10th-12th, 2016 Location: Room PC95 (first floor), RADIX building (107), Wageningen Campus, Droevendaalsesteeg 1, Wageningen, the Netherlands Directions: directions (check also Map Wageningen UR Campus) Language: English Group size: maximum of 35 participants Credits: 0.8 ECTS Registration and ...

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BADGE – A novel Bayesian model for accurate abundance quantification and differential analysis of RNA-Seq data


Recent advances in RNA sequencing (RNA-Seq) technology have offered unprecedented scope and resolution for transcriptome analysis. However, precise quantification of mRNA abundance and identification of differentially expressed genes are complicated due to biological and technical variations in RNA-Seq data. Researchers ...

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