Deterministic regression algorithm for transcriptome frequency estimation

Adrian Caciula*, Olga Glebova, Alexander Artyomenko, Serghei Mangul, James Lindsay, Ion I. Məndoiu, Alex Zelikovsky

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479957866
DOIs
StatePublished - Jul 24 2014
Event2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014 - Miami, United States
Duration: Jun 2 2014Jun 4 2014

Publication series

Name2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014

Other

Other2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
CountryUnited States
CityMiami
Period6/2/146/4/14

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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