01367aam a2200169 4500008004500000020001800045082001600063100001900079245006800098260002900166300002700195440006400222520082600286650003901112650002201151650002401173190501b 2017 ||||| |||| 00| 0 eng d a9781482258592 a572.8bM6S8 aMoses, Alan M. aStatistical modeling and machine learning for molecular biology bCRC Pressc2017aFlorida axvi, 264p.bWith index aChapman and Hall/CRC mathematical and computational biology aMolecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many more. The book takes a pragmatic approach, focusing on techniques that are based on elegant mathematics yet are the simplest to explain to scientists with little background in computers and statistics.
https://www.crcpress.com/Statistical-Modeling-and-Machine-Learning-for-Molecular-Biology/Moses/p/book/9781482258592 aMolecular biology--data processing aMolecular biology aStatistical methods