Removing technical variability in RNA-seq data using conditional quantile normalization

By Hansen Kasper D.   Irizarry Rafael A.   WU Zhijin  

Biostatistics, Vol. 13, Iss. 2, 2012-04 ,pp. : 204-216

Oxford University Press

Access to resources Recommend Favorite

Whole transcriptome expression profiling of mouse limb tendon development by using RNA‐seq

By  

JOURNAL OF ORTHOPAEDIC RESEARCH, Vol. 33, Iss. 6, 2015-06 ,pp. : 840-848

John Wiley & Sons Inc

Access to resources Recommend Favorite

Modeling RNA degradation for RNA-Seq with applications

By Wan Lin   Yan Xiting   Chen Ting   Sun Fengzhu  

Biostatistics, Vol. 13, Iss. 4, 2012-09 ,pp. : 734-747

Oxford University Press

Access to resources Recommend Favorite

Bayesian analysis of RNA sequencing data by estimating multiple shrinkage priors

By Van De Wiel Mark A.   Leday Gwenal G.R.   Pardo Luba   Rue Hvard   Van Der Vaart Aad W.   Van Wieringen Wessel N.  

Biostatistics, Vol. 14, Iss. 1, 2013-01 ,pp. : 113-128

Oxford University Press

Access to resources Recommend Favorite

Identification of a novel PARP14‐TFE3 gene fusion from 10‐year‐old FFPE tissue by RNA‐seq

By  

GENES, CHROMOSOMES AND CANCER, Vol. 54, Iss. 8, 2015-08 ,pp. : 500-505

John Wiley & Sons Inc

Access to resources Recommend Favorite