Synopsis
Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists' ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges. The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics . This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences.
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About the Authors
Umesh Kumar Lilhore 's research Area: AI, ML, Bioinformatics, and Blockchain
Abhishek Kumar is an Assistant Director/Associate Professor in the Computer Science & Engineering Department at Chandigarh University, Mohali, Punjab, India. He has a Doctorate in Computer Science from the University of Madras. He is doing Post-Doctoral Fellow in the Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has more than 150 publications in reputed, peer-reviewed National and International Journals, books, and conferences. He is the Series Editor for three books: Quantum Computing with De Gruyter Germany, Intelligent Energy System with Elsevier, & Sustainable Energy with Nova, USA.
Sarita Simaiya Research Area: Cloud Computing, AI, ML, Bioinformatics and Blockchain
"About this title" may belong to another edition of this title.
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