Entropy-based fuzzy hybrid framework for gene prediction network – an application to identify and rank the biomarkers for human lung adenocarcinoma-Reference-Cited by-同舟云学术

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Entropy-based fuzzy hybrid framework for gene prediction network – an application to identify and rank the biomarkers for human lung adenocarcinoma

Published:2018-08-21 Issue:1 Volume:41 Page:62-77
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Mallick Partho¹,Seth Priyanka²,Ghosh Anupam³

Affiliation:

1. Department of Computer Applications, Techno India University, Kolkata, West Bengal, India

2. Department of Computer Science and Engineering, Techno India University, Kolkata, West Bengal, India

3. Department of Computer Science and Engineering, Netaji Subhas Engineering College, Kolkata, India

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2018.1508865

Reference38 articles.

1. Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data

2. GIIRA—RNA-Seq driven gene finding incorporating ambiguous reads

3. Constructing Decision Trees

4. Identification of a Lifespan Extending Mutation in the Schizosaccharomyces pombe Cyclin Gene clg1+ by Direct Selection of Long-Lived Mutants

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