000			03669cam a2200625 i 4500
001			on1230251152
003			OCoLC
005			20240523125543.0
006			m o d
007			cr |||||||||||
008			210107t20212021njua ob 001 0 eng
010			_a 2021000004
040			_aDLC _beng _erda _cDLC _dOCLCO _dDG1 _dOCLCF _dUKAHL _dYDX _dOCLCO _dYUS _dOCLCQ _dUPM _dOCLCQ _dOCLCO _dOCLCL
020			_a9781119785620 _qelectronic book
020			_a1119785626 _qelectronic book
020			_a9781119785606 _qelectronic book
020			_a111978560X _qelectronic book
020			_a9781119785613 _qelectronic book
020			_a1119785618 _qelectronic book
020			_z9781119785538 _qhardcover
024	8		_a16962943
029	1		_aAU@ _b000068495524
035			_a(OCoLC)1230251152
042			_apcc
050	0	4	_aQH324.25 _b.D38 2021
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.
264		1	_aHoboken, NJ : _bJohn Wiley & Sons, Inc., _c2021.
264		4	_c�2021
300			_a1 online resource (xxi, 513 pages) : _billustrations (some color)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _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 online resource; title from digital title page (viewed on April 30, 2021).
590			_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks
650		0	_aBioinformatics.
650		0	_aArtificial intelligence _xBiological applications.
650		2	_aComputational Biology
650		6	_aBio-informatique.
650		6	_aIntelligence artificielle _xApplications biologiques.
650		7	_aArtificial intelligence _xBiological applications _2fast
650		7	_aBioinformatics _2fast
700	1		_aSatpathy, Rabinarayan, _eeditor.
700	1		_aChoudhury, Tanupriya, _eeditor.
700	1		_aSatpathy, Suneeta, _eeditor.
700	1		_aMohanty, Sachi Nandan, _eeditor.
758			_ihas work: _aData analytics in bioinformatics (Text) _1https://id.oclc.org/worldcat/entity/E39PCFtbVgWdCfxDdPFTkPqpmq _4https://id.oclc.org/worldcat/ontology/hasWork
776	0	8	_iPrint version: _tData analytics in bioinformatics _bFirst edition. _dHoboken, NJ : Wiley-Scrivener, 2021. _z9781119785538 _w(DLC) 2021000003
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119785620
938			_aAskews and Holts Library Services _bASKH _nAH38294852
994			_a92 _bINLUM
999			_c12771 _d12771