Jian Wang

发表

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium

David P. Kreil, Todd M. Smith, Thomas M. Blomquist, 2014, Nature Biotechnology.

Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures

David P. Kreil, Steven P. Lund, Paweł P. Łabaj, 2014, Nature Communications.

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

May D. Wang, Wenwei Zhang, Simon M Lin, 2015, Genome Biology.

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

David P. Kreil, Paweł P. Łabaj, C. Furlanello, 2014, Nature Biotechnology.

A comprehensive study design reveals treatment-and transcript abundance – dependent concordance between RNA-seq and microarray data

David P. Kreil, Paweł P. Łabaj, Dalila, 2014 .

Research Highlights: Highlights from the latest research in cytochromes pharmacogenomics

H. Hong, Jian Wang, Troy B. Hawkins, 2013 .

Highlights from the latest research in cytochromes pharmacogenomics Combining genetic variations in CYP 2 C 9 and VKORC 1 with clinical factors for warfarin dosing determination improved clinical effectiveness

H. Hong, Jian Wang, Troy B. Hawkins, 2010 .

Impact of RNA-seq data analysis algorithms on gene expression estimation and downstream prediction

May D. Wang, Weida Tong, Leming Shi, 2020, Scientific Reports.

DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates

Yuan Qi, Jian Wang, Yifan Yang, 2017, Bioinform..