http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
(Associate professor of computer science)
Delves into the deep learning methods and their applications in various fields of studies, including genetics and genomics, bioinformatics, health informatics and medical informatics generating the momentum of today's developments in the field. In 25 chapters this title covers advanced applications in the field which includes deep learning in predictive medicines), analysis of genetic and clinical features, transcriptomics and gene expression patterns analysis, clinical decision support in genetic diagnostics, deep learning in personalised genomics and gene editing, and understanding genetic discoveries through Explainable AI. Further, it also covers various deep learning-based case studies, making this book a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning based approaches. This volume is not only a valuable resource for health educators, clinicians, and healthcare professionals but also to graduate students of genetics, genomics, biology, biostatistics, biomedical sciences, bioinformatics, and interdisciplinary sciences.
Deep learning in predictive medicine exemplified by AI-mediated flu surveillance in USA / Peter Mudiaga Etaware -- Toward equitable precision medicine: Investigating the transferability of deep learning models in clinical genetics across diverse populations / Olugbenga Ayodeji Mokuolu, George Oche Ambrose, Kateanah Akinmeji -- Deep learning insights into transcriptomics and gene expression patterns analysis / Tanvi Rai, Aksa Saji, K.R. Dasegowda -- Role of artificial intelligence in clinical cancer genomics for oncology / Jangmang Chongloi, Sahar Qazi -- Deep learning approaches for interpreting Non-coding regions in Ovarian cancer / Anam Beg, Syed Naseer Ahmad Shah, Rafat Parveen -- Advancements in artificial intelligence-driven spatial transcriptomics: Decoding cellular complexity / Nagmi Bano, Iqra Sajid, Khalid Raza -- Advancements in clinical decision support through deep learning approaches in genetic diagnostics / Pallavi Sulakiya, S. Chandan, H. Raja Naika -- Neural architectures for genomic understanding: Deep dive into epigenome and chromatin structure / C.P. Bhargavi, S. Chandan, H. Raja Naika -- Deep learning in personalized genomics and gene editing / Leimarembi Devi Naorem, Kamakshi Shrivastava, Pratik Chandrani -- Deep learning-based model for prediction of prognostic genes of breast cancer using transcriptomic data / Souvik Guha, Gaurav Khanduri, Ravins Dohare -- Genomic image analysis: Bridging genomics and advanced imaging / Naiwrita Borah, Haseeb Khan, Shaik Salma Begum -- Qualitative study on steganography of genomic image data for secure data transmission using deep learning models / Bini M. Issac, S.N. Kumar, Gülsün Kurubacak Çakir -- Generative artificial intelligence in genetics: A comprehensive review / Nicholas Lee Franciss -- Integrating computational biology and multiomics data for precision medicine in personalized cancer treatment / S. Chandan, C.P. Bhargavi, H. Raja Naika -- Deep generative models in utilitarian and metamorphic genomics--Intellectual benefits / Shaik Salma Begum, G. Suresh Babu, Haseeb Khan -- Bridging the gap: Understanding genetic discoveries through explainable artificial intelligence / R.S.M. Lakshmi Patibandla, D. Madhusudhana Rao, Y. Gokul -- Explainable Artificial Intelligence in genetics: A case study / Abdullahi Isa, Iliyas Ibrahim Iliyas, Muhammad Lefami Zarma -- Deep learning in predicting genetic disorders: A case study of diabetic kidney disease / Iliyas Ibrahim Iliyas, Abdullahi Isa, Baba Ali Dauda -- Artificial intelligence and deep learning in single-cell omics data analysis: A case study / Zubina Anjum, Waniya Khalid, Khalid Raza -- Deep learning for network building and analysis of biological networks: A case study / Nivedya Kottarath, Megha Hari, Mohammed Abdul Kareem -- Transformer networks and autoencoders in genomics and genetic data interpretation: A case study / Haseeb Khan, Naiwrita Borah, Mohammed Soudy.
Includes bibliographical references and index.