000			03246cam a22005778i 4500
001			on1230251152
003			OCoLC
005			20220711203636.0
006			m o d
007			cr |||||||||||
008			210107s2021 nju ob 001 0 eng
010			_a 2021000004
040			_aDLC _beng _erda _cDLC _dOCLCO _dDG1 _dOCLCF
020			_a9781119785620 _q(electronic bk. : oBook)
020			_a1119785626 _q(electronic bk. : oBook)
020			_a9781119785606 _q(epub)
020			_a111978560X _q(epub)
020			_a9781119785613 _q(adobe pdf)
020			_a1119785618 _q(adobe pdf)
020			_z9781119785538 _q(cloth)
035			_a(OCoLC)1230251152
042			_apcc
050	0	0	_aQH324.25
082	0	0	_a570.285 _223
049			_aMAIN
245	0	0	_aData analytics in bioinformatics : _ba machine learning perspective / _cedited by Rabinarayan Satpathy, Tanupriya Choudhury, Suneeta Satpathy, Sachi Nandan Mohanty, and Xiaobo Zhang.
250			_aFirst edition.
263			_a2104
264		1	_aHoboken, NJ : _bWiley-Scrivener, _c2021.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
590			_bWiley Frontlist Obook All English 2021
650		0	_aBioinformatics. _99561
650		0	_aArtificial intelligence _xBiological applications. _99562
650		7	_aArtificial intelligence _xBiological applications. _2fast _0(OCoLC)fst00817250 _99562
650		7	_aBioinformatics. _2fast _0(OCoLC)fst00832181 _99561
655		4	_aElectronic books. _93294
700	1		_aSatpathy, Rabinarayan, _eeditor. _99563
700	1		_aChoudhury, Tanupriya, _eeditor. _99564
700	1		_aSatpathy, Suneeta, _eeditor. _99565
700	1		_aMohanty, Sachi Nandan, _eeditor. _99566
776	0	8	_iPrint version: _tData analytics in bioinformatics _bFirst edition. _dHoboken, NJ : Wiley-Scrivener, 2021. _z9781119785538 _w(DLC) 2021000003
856	4	0	_uhttps://doi.org/10.1002/9781119785620 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69436 _d69436