Bias curve

A structured sparse regression method for estimating isoform expression level from multi-sample RNA-seq data

L. Zhang, Liu, X. J., Zhang, L., and Liu, X. J., A structured sparse regression method for estimating isoform expression level from multi-sample RNA-seq data, vol. 15, p. -, 2016.

With the rapid development of next-generation high-throughput sequencing technology, RNA-seq has become a standard and important technique for transcriptome analysis. For multi-sample RNA-seq data, the existing expression estimation methods usually deal with each single-RNA-seq sample, and ignore that the read distributions are consistent across multiple samples. In the current study, we propose a structured sparse regression method, SSRSeq, to estimate isoform expression using multi-sample RNA-seq data.

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