Analysis and Prediction of Cancer Using Genome by Applying Data Mining Algorithms Book

Analysis and Prediction of Cancer using Genome by Applying Data Mining Algorithms” is a comprehensive book that delves into the crucial intersection of genomics and data mining techniques in the fight against cancer. The book explores the significance of the genome as the complete sequence of DNA containing all essential genes for building and maintaining an organism. It emphasizes the potential of data mining, an interdisciplinary field of computer science and algorithms, to extract meaningful patterns from large genomic datasets.

The book presents cutting-edge research work that applies data mining algorithms, including supervised and unsupervised learning, to cancer datasets obtained from reputable sources such as the Bioconductor website and R packages. The primary focus is on cancer prediction and identification of cancer types and subtypes through classification and clustering methods.

My name is Tejal Upadhyay, and I have been dedicated to Nirma University for the past 23 years. I hold a BTech in Computer Engineering from L D College of Engineering, Ahmedabad, which I completed in 1996. In 2004, I pursued an M.Tech from Dharamsinh Desai University, Nadiad. Recently, in 2022, I completed my Ph.D. at Charusat University.
Throughout my extensive tenure, I have actively engaged with Nirma University, primarily focusing on teaching undergraduate and postgraduate students in the field of Computer Engineering. Furthermore, since 2005, I have held the position of student branch councilor for the Nirma University branch of the Computer Society of India (CSI), a distinguished National Organization.