Nan Deng

Nan Deng received her Ph.D. in computer science from Wayne State University, Detroit, MI, USA, in 2014. She is a currently Senior Research Bioinformatican at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Dr. Deng has extensive experiences in algorithm design and implementation, statistical model building, and next generation sequencing (NGS) data analysis. She has developed novel algorithms and computational software tools for transcriptome quantification, characterization and identification using RNA-Seq, in particular detecting various types of differential splicing events between healthy and diseased human transcriptomes. Her research interests have been extended to study life-threatening human diseases by integrating genomics, transcriptomics, epigenetics, and proteomics.

Associated articles

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A Generalized dSpliceType Framework to Detect Differential Splicing and Differential Expression Events Using RNA-Seq
ACCESS PAPER DATA READ FULL ARTICLE ON IEEE XPLORE Abstract Transcriptomes are routinely compared in term of a list of differentially expressed genes followed by functional enrichment analysis. Due to the technology limitations of microarray, the molecular mechanisms of differential expression is poorly... Read more