Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling

ISBN 10: 8770226954 / ISBN 13: 9788770226950

Verlag: River Publishers, 2023

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Bibliografische Details

• Titel: Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling
• Verlag: River Publishers
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 8770226954
• ISBN-13: 9788770226950
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

Mathematical modelling and simulation are viewed as viable alternatives to performing experiments in medicine and biology, and are discussed in this book. The book also explores the probabilistic computational deep learning model for cancer classification and prediction.

Über die Autorin bzw. den Autor

Dr Akshara Makrariya has a PhD in Mathematics from the National Institute of Technology (SVNIT) Surat, India, specializing in computational and bio mathematics. She completed her Post-Doctoral Research under the Young Scientist Fellowship (NPDF) programme, from the Science & Engineering Research Board (SERB), DST, and Government of India. Her research interest includes computational models to study temperature distribution in extended spherical and ellipsoidal shaped human organs, computational models to study thermal disturbances due to tumours, and their modelling with different numerical methods like fractional calculus, and the finite volume method, and by using optimization techniques.

Dr Jha obtained his PhD in Mathematics in the year 2013 from the National Institute of Technology (SVNIT) Surat, India. His research area includes mathematical modelling and simulation of calcium dynamics in astrocytes, finite element modelling of biological problems, and fractional differential equations and their applications in physiological problems.

Dr Rabia Musheer has a Doctorate in Applied Mathematics from Maulana Azad National Institute of Technology, Bhopal, India. Her research interests include mathematical machine learning and data science application of mathematical modelling and optimization, soft computing, big data and bioinformatics.

Dr Anant Kant Shukla has a Doctorate from the VIT Vellore and CSIR-Fourth Paradigm Institute, Bengaluru. His research is in the area of analytical solutions and nonlinear systems.

Dr Jha obtained his PhD in Mathematics in the year 2013 from National Institute of Technology (SVNIT) Surat, India. Her research area includes mathematical modeling and simulation of calcium dynamics in neuron cell, and finite element modelling of biological problems.

Dr Parvaiz Ahmad Naik is working as Assistant Professor in Mathematics at the School of Mathematics and Statistics, Xi’an Jiaotong University P. R. China. He received his PhD in Applied Mathematics (Mathematical Biology) in 2015. His interest areas include differential equations, mathematical biology, fractional calculus, calcium dynamics, transmission dynamics of infectious diseases, etc.