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LEADER 00000cam a2200661Ma 4500 
001    ocn646768109 
003    OCoLC 
005    20160711055439.1 
006    m     o  d         
007    cr cn||||||||| 
008    070728s2007    enka    ob    001 0 eng d 
019    268995739|a505149522|a879074113 
020    9789812708892|q(electronic book) 
020    9812708898|q(electronic book) 
020    |z9789812707802 
020    |z9812707808 
035    (OCoLC)646768109|z(OCoLC)268995739|z(OCoLC)505149522
       |z(OCoLC)879074113 
040    E7B|beng|epn|cE7B|dOCLCQ|dN$T|dUBY|dIDEBK|dSTF|dOCLCQ
       |dOCLCO|dOCLCF|dOCLCA|dOCLCQ|dNLGGC|dYDXCP|dEBLCP|dDEBSZ
       |dOCLCQ 
049    RIDW 
050  4 QH324.2|b.A53 2007eb 
072  7 COM|x082000|2bisacsh 
082 04 572.80285|222 
090    QH324.2|b.A53 2007eb 
245 00 Analysis of biological data :|ba soft computing approach /
       |ceditors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason
       T.L. Wang. 
264  1 Singapore ;|aHong Kong :|bWorld Scientific,|c[2007] 
264  4 |c©2007 
300    1 online resource (xx, 332 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
490 1  Science, engineering, and biology informatics ;|vv. 3 
504    Includes bibliographical references and index. 
505 0  pt. I. Overview. ch. 1. Bioinformatics: mining the massive
       data from high throughput genomics experiments / Haixu 
       Tang and Sun Kim. ch. 2. An introduction to soft computing
       / Amit Konar and Swagatam Das -- pt. II. Biological 
       sequence and structure analysis. ch. 3. Reconstructing 
       phylogenies with memetic algorithms and branch-and-bound /
       José E. Gallardo, Carlos Cotta and Antonio J. Fernández. 
       ch. 4. Classification of RNA sequences with support vector
       machines / Jason T.L. Wang and Xiaoming Wu. ch. 5. Beyond 
       string algorithms: protein sequence analysis using wavelet
       transforms / Arun Krishnan and Kuo-Bin Li. ch. 6. 
       Filtering protein surface motifs using negative instances 
       of active sites candidates / Nripendra L. Shrestha and 
       Takenao Ohkawa. ch. 7. Distill: a machine learning 
       approach to Ab Initio protein structure prediction / 
       Gianluca Pollastri, Davide Baú and Alessandro Vullo. ch. 
       8. In silico design of ligands using properties of target 
       active sites / Sanghamitra Bandyopadhyay [and others] -- 
       pt. III. Gene expression and microarray data analysis. ch.
       9. Inferring regulations in a genomic network from gene 
       expression profiles. ch. 10. A reliable classification of 
       gene clusters for cancer samples using a hybrid multi-
       objective evolutionary procedure / Kalyanmoy Deb, A. Raji 
       Reddy and Shamik Chaudhuri. ch. 11. Feature selection for 
       cancer classification using ant colony optimization and 
       support vector machines / A. Gupta, V.K. Jayaraman and 
       B.D. Kulkarni. ch. 12. Sophisticated methods for cancer 
       classification using microarray data / Sung-Bae Cho and 
       Han-Saem Park. ch. 13. Multiobjective evolutionary 
       approach to fuzzy clustering of microarray data / Anirban 
       Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay.
520    Bioinformatics, a field devoted to the interpretation and 
       analysis of biological data using computational techniques,
       has evolved tremendously in recent years due to the 
       explosive growth of biological information generated by 
       the scientific community. Soft computing is a consortium 
       of methodologies that work synergistically and provides, 
       in one form or another, flexible information processing 
       capabilities for handling real-life ambiguous situations. 
       Several research articles dealing with the application of 
       soft computing tools to bioinformatics have been published
       in the recent past; however, 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Bioinformatics.|0https://id.loc.gov/authorities/subjects/
       sh00003585 
650  0 Soft computing.|0https://id.loc.gov/authorities/subjects/
       sh96004789 
650  2 Computational Biology.|0https://id.nlm.nih.gov/mesh/
       D019295 
650  2 Artificial Intelligence.|0https://id.nlm.nih.gov/mesh/
       D001185 
650  7 Bioinformatics.|2fast|0https://id.worldcat.org/fast/832181
650  7 Soft computing.|2fast|0https://id.worldcat.org/fast/
       1124115 
655  4 Electronic books. 
700 1  Bandyopadhyay, Sanghamitra,|d1968-|0https://id.loc.gov/
       authorities/names/no2005117963 
700 1  Maulik, Ujjwal.|0https://id.loc.gov/authorities/names/
       n2008180067 
700 1  Wang, Jason T. L.|0https://id.loc.gov/authorities/names/
       n98038837 
776 08 |iPrint version:|tAnalysis of biological data.|dSingapore 
       ; Hackensack, NJ : World Scientific, ©2007|z9789812707802
       |z9812707808|w(OCoLC)166373573 
830  0 Science, engineering, and biology informatics ;|0https://
       id.loc.gov/authorities/names/no2007052160|vv. 3. 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=235950|zOnline eBook. Access restricted to 
       current Rider University students, faculty, and staff. 
856 42 |3Instructions for reading/downloading this eBook|uhttp://
       guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20161017 |cMH |tebscoebooksacademic updated may-july27
       |lridw 
948    |d20160616|cEBSCO|tebscoebooksacademic|lridw 
994    92|bRID