Items related to Computational and Analytic Methods in Biological Sciences:...

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

 
9788770226950: Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.