Deterministic regression algorithm for transcriptome frequency estimation

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 te...

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Bibliographic Details
Main Authors: Caciula, Adrian, Glebova, Olga, Artyomenko, Alexander, Mangul, Serghei, Lindsay, James, Mandoiu, Ion I., Zelikovsky, Alex
Format: Conference Proceeding
Language:English
Subjects:
Bioinformatics
Correlation
Educational institutions
Electronic mail
Frequency estimation
Genomics
Monte Carlo methods
Online Access:Request full text
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Summary: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.
DOI:10.1109/ICCABS.2014.6863946