A comprehensive study of a svm-based mirna target prediction algorithm

Hui Liu; Dong Yue; Yidong Chen; Yufei Huang

doi:10.1109/GENSIPS.2009.5174346

A comprehensive study of a svm-based mirna target prediction algorithm

Hui Liu, Dong Yue, Yidong Chen, Yufei Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

MicroRNAs are single-stranded non-coding RNAs that play important regulatory roles in many biological processes and diseases. Identifying miRNA regulatory targets is paramount in elucidating its function. We carried out a comprehensive study of a new SYM-based target prediction algorithm called SYMicrO in this paper. The training data set is carefully derived from the most up-to-date collection of verified target s and multiple microarray data sets. Several varieties of feature design and selection schemes are investigated. The prediction results are compared with most of the existing algorithms, which show improved sensitivity and specificity of this two-stage SYM algorithm.

Original language	English (US)
Title of host publication	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
DOIs	https://doi.org/10.1109/GENSIPS.2009.5174346
State	Published - 2009
Event	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009 - Minneapolis, MN, United States Duration: May 17 2009 → May 21 2009

Publication series

Name	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009

Other

Other	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
Country/Territory	United States
City	Minneapolis, MN
Period	5/17/09 → 5/21/09

ASJC Scopus subject areas

Molecular Biology
Computational Theory and Mathematics
Computer Vision and Pattern Recognition
Biomedical Engineering

Access to Document

10.1109/GENSIPS.2009.5174346

Cite this

A comprehensive study of a svm-based mirna target prediction algorithm. / Liu, Hui; Yue, Dong; Chen, Yidong et al.
2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009. 2009. 5174346 (2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liu, H, Yue, D, Chen, Y & Huang, Y 2009, A comprehensive study of a svm-based mirna target prediction algorithm. in 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009., 5174346, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009, Minneapolis, MN, United States, 5/17/09. https://doi.org/10.1109/GENSIPS.2009.5174346

@inproceedings{e72251b00dce4e34a7e6e8f35ff5634f,

title = "A comprehensive study of a svm-based mirna target prediction algorithm",

abstract = "MicroRNAs are single-stranded non-coding RNAs that play important regulatory roles in many biological processes and diseases. Identifying miRNA regulatory targets is paramount in elucidating its function. We carried out a comprehensive study of a new SYM-based target prediction algorithm called SYMicrO in this paper. The training data set is carefully derived from the most up-to-date collection of verified target s and multiple microarray data sets. Several varieties of feature design and selection schemes are investigated. The prediction results are compared with most of the existing algorithms, which show improved sensitivity and specificity of this two-stage SYM algorithm.",

author = "Hui Liu and Dong Yue and Yidong Chen and Yufei Huang",

year = "2009",

doi = "10.1109/GENSIPS.2009.5174346",

language = "English (US)",

isbn = "9781424447619",

series = "2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009",

booktitle = "2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009",

note = "2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009 ; Conference date: 17-05-2009 Through 21-05-2009",

}

TY - GEN

T1 - A comprehensive study of a svm-based mirna target prediction algorithm

AU - Liu, Hui

AU - Yue, Dong

AU - Chen, Yidong

AU - Huang, Yufei

PY - 2009

Y1 - 2009

N2 - MicroRNAs are single-stranded non-coding RNAs that play important regulatory roles in many biological processes and diseases. Identifying miRNA regulatory targets is paramount in elucidating its function. We carried out a comprehensive study of a new SYM-based target prediction algorithm called SYMicrO in this paper. The training data set is carefully derived from the most up-to-date collection of verified target s and multiple microarray data sets. Several varieties of feature design and selection schemes are investigated. The prediction results are compared with most of the existing algorithms, which show improved sensitivity and specificity of this two-stage SYM algorithm.

AB - MicroRNAs are single-stranded non-coding RNAs that play important regulatory roles in many biological processes and diseases. Identifying miRNA regulatory targets is paramount in elucidating its function. We carried out a comprehensive study of a new SYM-based target prediction algorithm called SYMicrO in this paper. The training data set is carefully derived from the most up-to-date collection of verified target s and multiple microarray data sets. Several varieties of feature design and selection schemes are investigated. The prediction results are compared with most of the existing algorithms, which show improved sensitivity and specificity of this two-stage SYM algorithm.

UR - http://www.scopus.com/inward/record.url?scp=70349484089&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349484089&partnerID=8YFLogxK

U2 - 10.1109/GENSIPS.2009.5174346

DO - 10.1109/GENSIPS.2009.5174346

M3 - Conference contribution

AN - SCOPUS:70349484089

SN - 9781424447619

T3 - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009

BT - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009

T2 - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009

Y2 - 17 May 2009 through 21 May 2009

ER -

A comprehensive study of a svm-based mirna target prediction algorithm

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this