Computational prediction of microRNA regulatory pathways

Dong Yue; Yidong Chen; Shou Jiang Gao; Yufei Huang

doi:10.1109/BIBMW.2010.5703833

Computational prediction of microRNA regulatory pathways

Dong Yue, Yidong Chen, Shou Jiang Gao, Yufei Huang

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

Abstract

MicroRNAs (miRNAs) are known to regulate transcription and/or protein translation of hundreds of genes. Despite their importance, the functions of most human miRNAs are still poorly understood. In this paper, we proposed a SVM based algorithm - PathMicrO that elucidates the miRNA function by predicting the miRNA regulated pathways. PathMicrO combines the sequence-level target predictions with the gene expression profiling from the miRNA transfection experiments. The performance of PathMicrO is evaluated with cross-validation using a careful constructed training data. Compared to other prediction algorithms, PathMicrO attains 43.2% improvement in precision when recall is equal to 0.2 and achieves much larger area under the receiver operating characteristic (ROC) curve.

Original language	English (US)
Title of host publication	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Pages	386-391
Number of pages	6
DOIs	https://doi.org/10.1109/BIBMW.2010.5703833
State	Published - 2010
Event	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 - HongKong, China Duration: Dec 18 2010 → Dec 21 2010

Publication series

Name	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

Other

Other	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Country/Territory	China
City	HongKong
Period	12/18/10 → 12/21/10

Keywords

Function
MicroRNA
PathmicrO
Pathway
SVM

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

Access to Document

10.1109/BIBMW.2010.5703833

Cite this

Yue, D., Chen, Y., Gao, S. J., & Huang, Y. (2010). Computational prediction of microRNA regulatory pathways. In 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 (pp. 386-391). Article 5703833 (2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010). https://doi.org/10.1109/BIBMW.2010.5703833

Computational prediction of microRNA regulatory pathways. / Yue, Dong; Chen, Yidong; Gao, Shou Jiang et al.
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010. 2010. p. 386-391 5703833 (2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010).

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

Yue, D, Chen, Y, Gao, SJ & Huang, Y 2010, Computational prediction of microRNA regulatory pathways. in 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010., 5703833, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, pp. 386-391, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, HongKong, China, 12/18/10. https://doi.org/10.1109/BIBMW.2010.5703833

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abstract = "MicroRNAs (miRNAs) are known to regulate transcription and/or protein translation of hundreds of genes. Despite their importance, the functions of most human miRNAs are still poorly understood. In this paper, we proposed a SVM based algorithm - PathMicrO that elucidates the miRNA function by predicting the miRNA regulated pathways. PathMicrO combines the sequence-level target predictions with the gene expression profiling from the miRNA transfection experiments. The performance of PathMicrO is evaluated with cross-validation using a careful constructed training data. Compared to other prediction algorithms, PathMicrO attains 43.2% improvement in precision when recall is equal to 0.2 and achieves much larger area under the receiver operating characteristic (ROC) curve.",

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AB - MicroRNAs (miRNAs) are known to regulate transcription and/or protein translation of hundreds of genes. Despite their importance, the functions of most human miRNAs are still poorly understood. In this paper, we proposed a SVM based algorithm - PathMicrO that elucidates the miRNA function by predicting the miRNA regulated pathways. PathMicrO combines the sequence-level target predictions with the gene expression profiling from the miRNA transfection experiments. The performance of PathMicrO is evaluated with cross-validation using a careful constructed training data. Compared to other prediction algorithms, PathMicrO attains 43.2% improvement in precision when recall is equal to 0.2 and achieves much larger area under the receiver operating characteristic (ROC) curve.

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Computational prediction of microRNA regulatory pathways

Abstract

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Keywords

ASJC Scopus subject areas

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