Computational intelligence technique...
Gunjan, Vinit Kumar.

 

  • Computational intelligence techniques for comparative genomics[electronic resource] :dedicated to Prof. Allam Appa Rao on the occasion of his 65th birthday /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.3
    書名/作者: Computational intelligence techniques for comparative genomics : dedicated to Prof. Allam Appa Rao on the occasion of his 65th birthday // edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan.
    其他作者: Muppalaneni, Naresh Babu.
    出版者: Singapore : : Springer Singapore :, 2015.
    面頁冊數: xviii, 137 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computational intelligence.
    標題: Comparative genomics.
    標題: Engineering.
    標題: Computational Intelligence.
    標題: Computational Biology/Bioinformatics.
    標題: Forensic Science.
    標題: Diabetes.
    標題: Biomedical Engineering.
    標題: Health Informatics.
    ISBN: 9789812873385 (electronic bk.)
    ISBN: 9789812873378 (paper)
    內容註: Diversified Insulin Associated Beta-behavioral & Endogenously Triggered Exposed Symptoms (Diabetes) Model of Diabetes in India -- Automatic Teaching Learning Based Optimization: A Novel Clustering Method For Gene Functional Enrichments -- A Comparative Study of Methodologies of Protein Secondary Structure -- A sparse modeled ROI for GLAM construction in image classification problems – A case study of Breast Cancer -- A Survey on Identification of Protein Complexes in Protein-Protein Interaction Data: Methods and Evaluation -- Modeling Artificial Life: A cellular Automata Approach -- Identification of Deleterious Snps in TACR1 Gene Using Genetic algorithm -- Identification of AIDS Disease Severity Using Genetic Algorithm -- A Novel Clustering Approach Using Hadoop Distributed Environment -- Framework for Evaluation of Programming Language Examinations -- An Efficient Data Integration Framework in Cloud using Map Reduce.
    摘要、提要註: This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers. Chapters include the Bioinformatics of Diabetes and several computational algorithms and statistical analysis approach to effectively study the disorders and possible causes along with medical applications.
    電子資源: http://dx.doi.org/10.1007/978-981-287-338-5
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