Naïve Bayes classifier predicts functional microRNA target interactions in colorectal cancer-Reference-Cited by-同舟云学术

Naïve Bayes classifier predicts functional microRNA target interactions in colorectal cancer

Published:2015 Issue:8 Volume:11 Page:2126-2134
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

Amirkhah Raheleh¹²³⁴⁵,Farazmand Ali¹²³⁴⁵,Gupta Shailendra K.⁶⁷⁸⁹¹⁰,Ahmadi Hamed¹¹¹²¹³⁴⁵,Wolkenhauer Olaf⁶⁷⁸⁹¹⁰,Schmitz Ulf⁶⁷⁸⁹¹⁰

Affiliation:

1. Department of Cell and Molecular Biology

2. School of Biology

3. College of Science

4. University of Tehran

5. Tehran

6. Department of Systems Biology and Bioinformatics

7. Institute of Computer Science

8. University of Rostock

9. Rostock

10. Germany

11. Multimedia Processing Laboratory (MPL)

12. School of Electrical and Computer Engineering

13. College of Engineering

Abstract

The article describes a novel method (CRCmiRTar) for a CRC-specific prediction of functional miRNA-target interactions based on a machine learning approach.

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2015/MB/C5MB00245A

Reference40 articles.

1. MicroRNA-mRNA interactions in colorectal cancer and their role in tumor progression

2. MicroRNAs: small RNAs with a big role in gene regulation

3. MicroRNAs

4. Identification and functional screening of microRNAs highly deregulated in colorectal cancer

5. Computational analysis of biological functions and pathways collectively targeted by co-expressed microRNAs in cancer

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