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Hasil Pencarian

Ditemukan 6480 dokumen yang sesuai dengan query
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Liang, Kung-Hao
"Summary:
This volume provides biomedical researchers and students with a state-of-the-art assessment of the application of bioinformatics to biomedical science and clinical applications."
Cambridge, UK ; Philadelphia: Philadelphia : Woodhead Pub, 2013
570.285 LIA b
Buku Teks  Universitas Indonesia Library
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Rashidi, Hooman H.
Boca Raton: Taylor &​ Francis, 2000
572.8 RAS b
Buku Teks  Universitas Indonesia Library
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"The aim of this issue of modern aspects of electrochemistry is to review the latest developments of the surface treatments for biomedical applications in relation to electrochemical science and technology."
New York: Springer, 2012
e20405811
eBooks  Universitas Indonesia Library
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Olansen, Jon B.
New Jersey: Prentice-Hall, 2002
610.28 OLA v
Buku Teks SO  Universitas Indonesia Library
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Olansen, Jon B.
Upper Saddle River, NJ: Prentice-Hall, 2002
610OLAV001
Multimedia  Universitas Indonesia Library
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Olansen, Jon B.
Upper Saddle River, N.J: Prentice-Hall, 2002
610OLAV002
Multimedia  Universitas Indonesia Library
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Dordrecht: Springer, 2016
572.8 APP
Buku Teks  Universitas Indonesia Library
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"Summary:
"Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references"--Page 4 de la couverture"
Boca Raton: CRC Press, Taylor & Francis Group, 2016
572.8 BIG
Buku Teks  Universitas Indonesia Library
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Ghosh, Zhumur
New Delhi: Oxford University Press, 2018
570.285 GHO b
Buku Teks  Universitas Indonesia Library
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Bephage, Gaetan
London: Mosby , 1997
362.1 BEP s
Buku Teks  Universitas Indonesia Library
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