Deep Learning Applications in Translational Bioinformatics

┬╖ ┬╖ ┬╖
┬╖ Elsevier
рдИ-рдмреБрдХ
250
рдкреЗрдЬ
рдпреЛрдЧреНрдп
рд░реЗрдЯрд┐рдВрдЧ рдФрд░ рд╕рдореАрдХреНрд╖рд╛рдУрдВ рдХреА рдкреБрд╖реНрдЯрд┐ рдирд╣реАрдВ рд╣реБрдИ рд╣реИ ┬ардЬрд╝реНрдпрд╛рджрд╛ рдЬрд╛рдиреЗрдВ

рдЗрд╕ рдИ-рдмреБрдХ рдХреЗ рдмрд╛рд░реЗ рдореЗрдВ рдЬрд╛рдирдХрд╛рд░реА

Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, various applications of deep learning in translational bioinformatics including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation. This new volume helps researchers working in the field of machine learning and bioinformatics to foster future research and development in ensemble deep learning and inspire new bioinformatics applications that cannot be attained by using traditional machine learning models. - Addresses the practical application of deep learning algorithms to a wide range of bioinformatics challenges - Presents integrative and multidisciplinary approaches to ubiquitous healthcare - Includes case studies to illustrate the concepts discussed

рд▓реЗрдЦрдХ рдХреЗ рдмрд╛рд░реЗ рдореЗрдВ

Dr. Khalid Raza is working as an Associate Professor at the Department of Computer Science, Jamia Millia Islamia, New Delhi. Earlier he worked as an тАЬICCR Chair Professor at Ain Shams University, Cairo, Egypt. He has many years of teaching & research experiments in the field of Translational Bioinformatics and Computational Intelligence. He has contributed over 120 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited dozens of books published by reputed publishers. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the Journal Natural Product Communications. He has an active collaboration with the scientists from leading institutions of India and abroad. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier. His research interest lies in Machine Learning and its applications in Bioinformatics and Health-informatics.

Dr. Debmalya Barh is currently a Visiting Full Professor (Titular, Grade-E) in Bioinformatics and Precision Health at the Department of Genetics, Ecology, and Evolution, ICB, Federal University of Minas Gerais, Brazil and honorary scientist of the Institute of Integrative Omics and Applied Biotechnology (IIOAB), India. With over 20 years of experience, he has led academic, healthcare, molecular diagnostic, and bioinformatics industry endeavors. He works with more than 400 scientists from 100+ top ranked organizations across 40+ countries and has 220+ publications and a branded editor for 10+ cutting-edge omics related reference books. He is an expert in in precision/personalized health and integrative omics-based biomarker and target discovery in infectious and complex lifestyle diseases.

Dr. Deepak Singh is an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology (NIT) Raipur, India. He has over 10 years of teaching and research experience in various academic institutes. He has published over 30 refereed articles. He served as a reviewer of several journals. He has delivered several invited talks and presented papers in reputed International conferences and workshops. His research interests include evolutionary computation, machine learning, and data mining.

Dr. Naeem Ahmad is an Assistant Professor at the Department of Computer Applications, National Institute of Technology (NIT) Raipur, India. Prior to working here, he worked as an Assistant Professor with the School of Network Engineering, Jiangxi Ahead Software Vocational and Technical College. He has over 8 years of teaching/research experience in various academic institutions. He has published over 20 research articles and served as reviewers for various journals and conferences. His research interests lie in deep learning, Wireless Networks, Image Processing, and Signal Processing and its applications in Healthcare.

рдЗрд╕ рдИ-рдмреБрдХ рдХреЛ рд░реЗрдЯрд┐рдВрдЧ рджреЗрдВ

рд╣рдореЗрдВ рдЕрдкрдиреА рд░рд╛рдп рдмрддрд╛рдПрдВ.

рдкрдарди рдЬрд╛рдирдХрд╛рд░реА

рд╕реНрдорд╛рд░реНрдЯрдлрд╝реЛрди рдФрд░ рдЯреИрдмрд▓реЗрдЯ
Android рдФрд░ iPad/iPhone рдХреЗ рд▓рд┐рдП Google Play рдХрд┐рддрд╛рдмреЗрдВ рдРрдкреНрд▓рд┐рдХреЗрд╢рди рдЗрдВрд╕реНрдЯреЙрд▓ рдХрд░реЗрдВ. рдпрд╣ рдЖрдкрдХреЗ рдЦрд╛рддреЗ рдХреЗ рд╕рд╛рде рдЕрдкрдиреЗ рдЖрдк рд╕рд┐рдВрдХ рд╣реЛ рдЬрд╛рддрд╛ рд╣реИ рдФрд░ рдЖрдкрдХреЛ рдХрд╣реАрдВ рднреА рдСрдирд▓рд╛рдЗрди рдпрд╛ рдСрдлрд╝рд▓рд╛рдЗрди рдкрдврд╝рдиреЗ рдХреА рд╕реБрд╡рд┐рдзрд╛ рджреЗрддрд╛ рд╣реИ.
рд▓реИрдкрдЯреЙрдк рдФрд░ рдХрдВрдкреНрдпреВрдЯрд░
рдЖрдк рдЕрдкрдиреЗ рдХрдВрдкреНрдпреВрдЯрд░ рдХреЗ рд╡реЗрдм рдмреНрд░рд╛рдЙрдЬрд╝рд░ рдХрд╛ рдЙрдкрдпреЛрдЧ рдХрд░рдХреЗ Google Play рдкрд░ рдЦрд░реАрджреА рдЧрдИ рдСрдбрд┐рдпреЛ рдХрд┐рддрд╛рдмреЗрдВ рд╕реБрди рд╕рдХрддреЗ рд╣реИрдВ.
eReaders рдФрд░ рдЕрдиреНрдп рдбрд┐рд╡рд╛рдЗрд╕
Kobo рдИ-рд░реАрдбрд░ рдЬреИрд╕реА рдИ-рдЗрдВрдХ рдбрд┐рд╡рд╛рдЗрд╕реЛрдВ рдкрд░ рдХреБрдЫ рдкрдврд╝рдиреЗ рдХреЗ рд▓рд┐рдП, рдЖрдкрдХреЛ рдлрд╝рд╛рдЗрд▓ рдбрд╛рдЙрдирд▓реЛрдб рдХрд░рдХреЗ рдЙрд╕реЗ рдЕрдкрдиреЗ рдбрд┐рд╡рд╛рдЗрд╕ рдкрд░ рдЯреНрд░рд╛рдВрд╕рдлрд╝рд░ рдХрд░рдирд╛ рд╣реЛрдЧрд╛. рдИ-рд░реАрдбрд░ рдкрд░ рдХрд╛рдо рдХрд░рдиреЗ рд╡рд╛рд▓реА рдлрд╝рд╛рдЗрд▓реЛрдВ рдХреЛ рдИ-рд░реАрдбрд░ рдкрд░ рдЯреНрд░рд╛рдВрд╕рдлрд╝рд░ рдХрд░рдиреЗ рдХреЗ рд▓рд┐рдП, рд╕рд╣рд╛рдпрддрд╛ рдХреЗрдВрджреНрд░ рдХреЗ рдирд┐рд░реНрджреЗрд╢реЛрдВ рдХрд╛ рдкрд╛рд▓рди рдХрд░реЗрдВ.