000			nam a22 4500
999			_c117476 _d117476
008			200601b ||||| |||| 00| 0 eng d
020			_a9781584886822
082			_a006.31 _bMIT
100			_aMitra, Sushmita _957911
245			_aIntroduction to Machine Learning and Bioinformatics
260			_bTaylor and Francis Group _aUSA _c2015
300			_a366p
440			_aComputer Science and Data Analysis Series _953945
500			_aChapter: 1 Introduction Chapter: 2 The Biology of a Living Organism Chapter: 3 Probabilistic and Model-Based Learning Chapter: 4 Classification Techniques Chapter: 5 Unsupervised Learning Techniques Chapter: 6 Computational Intelligence in Bioinformatics Chapter: 7 Connections between Machine Learning and Bioinformatics Chapter: 8 Machine Learning in Structural Biology: Interpreting 3D Protein Images Chapter: 9 Soft Computing in Biclustering Chapter: 10 Bayesian Machine-Learning Methods for Tumor Classification Using Expression Data Chapter: 11 Modeling and Analysis of Quantitative Proteomics Data Obtained from iTRAQ Experiments Chapter: 12 Statistical Methods for Classifying Mass Spectrometery Database Search Result
600			_aInformation Technology _948196
700			_aDatta, Sujay _948197
700			_aPerkins, Theodore _948198
700			_aMichailidis, George _948199
942			_2ddc _cLB