DocumentCode
191069
Title
Deterministic regression algorithm for transcriptome frequency estimation
Author
Caciula, Adrian ; Glebova, Olga ; Artyomenko, Alexander ; Mangul, Serghei ; Lindsay, John ; Mandoiu, Ion I. ; Zelikovsky, Alexander
Author_Institution
Georgia State Univ., Atlanta, GA, USA
fYear
2014
fDate
2-4 June 2014
Firstpage
1
Lastpage
1
Abstract
We present a deterministic version of our novel Monte-Carlo Regression based method MCReg [1] for transcriptome quantification from RNA-Seq reads. Experiments on simulated and real datasets demonstrate better transcriptome frequency estimation accuracy compared to that of the existing tools which tend to skew the estimated frequency toward super-transcripts.
Keywords
Monte Carlo methods; RNA; bioinformatics; frequency estimation; genomics; molecular biophysics; regression analysis; Monte-Carlo regression based method; RNA-Seq reads; deterministic regression algorithm; transcriptome frequency estimation accuracy; Bioinformatics; Correlation; Educational institutions; Electronic mail; Frequency estimation; Genomics; Monte Carlo methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
Conference_Location
Miami, FL
Print_ISBN
978-1-4799-5786-6
Type
conf
DOI
10.1109/ICCABS.2014.6863946
Filename
6863946
Link To Document