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Download the fantastic book titled Big Data Analysis for Bioinformatics and Biomedical Discoveries written by Shui Qing Ye, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Big Data Analysis for Bioinformatics and Biomedical Discoveries", which was released on 13 January 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Big Data Analysis for Bioinformatics and Biomedical Discoveries by Shui Qing Ye PDF

Demystifies Biomedical and Biological Big Data AnalysesBig 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 implem

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Detail About Big Data Analysis for Bioinformatics and Biomedical Discoveries PDF

  • Author : Shui Qing Ye
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 208 pages
  • ISBN : 1040056903
  • PDF File Size : 14,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
  • Publisher : IGI Global
  • File Size : 45,5 Mb
  • Release Date : 31 October 2014
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As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large

Integrative Bioinformatics for Biomedical Big Data

Integrative Bioinformatics for Biomedical Big Data
  • Publisher : Cambridge University Press
  • File Size : 47,6 Mb
  • Release Date : 31 October 2023
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The volume and complexity of biological and biomedical research continues to grow exponentially with cutting-edge technologies such as high-throughput DNA sequencing. Unfortunately, bioinformatics analysis is often considered only after data

Big Data Analytics in Genomics

Big Data Analytics in Genomics
  • Publisher : Springer
  • File Size : 26,5 Mb
  • Release Date : 24 October 2016
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This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which

Big Data Analytics in Chemoinformatics and Bioinformatics

Big Data Analytics in Chemoinformatics and Bioinformatics
  • Publisher : Elsevier
  • File Size : 37,5 Mb
  • Release Date : 06 December 2022
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Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and

Healthcare and Big Data Management

Healthcare and Big Data Management
  • Publisher : Springer
  • File Size : 35,8 Mb
  • Release Date : 20 October 2017
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The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for

Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare
  • Publisher : Academic Press
  • File Size : 39,9 Mb
  • Release Date : 18 October 2020
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those

Bioinformatics Tools and Big Data Analytics for Patient Care

Bioinformatics Tools and Big Data Analytics for Patient Care
  • Publisher : CRC Press
  • File Size : 36,6 Mb
  • Release Date : 31 August 2022
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Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a