TY  - BOOK
AU  - Satpathy,Rabinarayan
AU  - Choudhury,Tanupriya
AU  - Satpathy,Suneeta
AU  - Mohanty,Sachi Nandan
TI  - Data analytics in bioinformatics: a machine learning perspective 
SN  - 9781119785620
AV  - QH324.25 .D38 2021
U1  - 570.285 23
PY  - 2021///
CY  - Hoboken, NJ
PB  - John Wiley & Sons, Inc.
KW  - Bioinformatics
KW  - Artificial intelligence
KW  - Biological applications
KW  - Computational Biology
KW  - Bio-informatique
KW  - Intelligence artificielle
KW  - Applications biologiques
KW  - fast
N1  - Includes bibliographical references and index
N2  - "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"--
UR  - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119785620
ER  -