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020 _a9789811240126
_q(ebook)
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_q(ebook)
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_q(hbk.)
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_q(hbk.)
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_b.Y36 2021
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082 0 4 _a570.1/13
_223
049 _aMAIN
100 1 _aYang, Zheng Rong.
_9178521
245 1 0 _aBiological pattern discovery with R [electronic resource] :
_bmachine learning approaches /
_cZheng Rong Yang.
260 _aSingapore :
_bWorld Scientific,
_c2021.
300 _a1 online resource (464 p.)
504 _aIncludes bibliographical references and index.
505 0 _aIntroduction -- Responsive gene discovery -- Protease cleavage pattern discovery -- Genetic-epigenetic interplay discovery -- Spectral pattern discovery -- Gene expression pattern discovery -- Whole genome pattern discovery -- Optimised peptide pattern discovery -- Advanced subjects.
520 _a"This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms"--
_cPublisher's website.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
650 0 _aBiological systems
_xSimulation methods.
_923594
650 0 _aPattern recognition systems.
_93953
655 0 _aElectronic books.
_93294
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/12366#t=toc
_zAccess to full text is restricted to subscribers.
942 _cEBK
999 _c97807
_d97807