000			02015cam a2200349Ia 4500
001			CAH00CE682XPDF
003			BD-DhSAU
005			20151012144303.0
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007			cr||||
008			140910s2008 fluad ob 001 0 eng d
020			_a9781420011784 (ebook : PDF)
040			_aBD-DhSAU _cBD-DhSAU
090			_aQH324.2 _b.I575 2008
092			_a572.80285 _bI619
245	0	0	_aIntroduction to machine learning and bioinformatics _h[electronic resource] / _cSushmita Mitra ... [et al.].
260			_aBoca Raton : _bCRC Press, _cc2008.
300			_a366 p. : _bill.
490	1		_aChapman & Hall/CRC computer science and data analysis series
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction -- 2. The biology of a living organism -- 3. Probabilistic and model-based learning -- 4. Classification techniques -- 5. Unsupervised learning techniques -- 6. Computational intelligence in bioinformatics -- 7. Connections between machine learning and bioinformatics -- 8. Machine learning in structural biology : interpreting 3D protein images -- 9. Soft computing in biclustering -- 10. Bayesian machine-learning methods for tumor classification using gene expression data -- 11. Modeling and analysis of quantitative proteomics data obtained from iTRAQ experiments -- 12. Statistical methods for classifying mass spectrometry database search results.
530			_aAlso available in print format.
538			_aMode of access: World Wide Web.
650		0	_aBioinformatics.
650		0	_aMachine learning.
655		7	_aElectronic books. _2lcsh
700	1		_aMitra, Sushmita, _d1962-
776	0	8	_z9781584886822 (hardback : alk. paper) _z158488682X (hardback : alk. paper)
830		0	_aSeries in computer science and data analysis.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781420011784 _qapplication/PDF
999			_c11513 _d11512