Computational Intelligence in Epigenetics, Cellular and Mitochondrial Functions
1st Edition
Will be published approx. on 4. December 2026
Book
Hardback
480 pages
978-1-041-06253-0 (ISBN)
Description
This reference text analyzes the integrated model of artificial intelligence, deep learning, and cloud computing for various bioinformatic problems including gene signature discovery, rare cell detection, disease classification, and rare disease detection. It discusses biomedical image processing, and deep learning integrated tools for stage detection of critical diseases like cancer.
This book:
Presents a comparative study of gradient boosted classifier and deep learning classifier for disease classification of multi-omics sequencing data.
Showcases biomarker discovery and differential expression analysis in Single-cell RNA sequencing data through the integrated model of data imputation, feature selection, and cell clustering.
Explains artificial intelligence, machine learning, and integrated models for DNA methylation and gene expression data analysis, and disease classification.
Covers the fundamentals of artificial intelligence, machine learning, deep learning, and cloud computing tools in bioinformatics.
Explores the rare cell detection, and transcriptomic analysis in single-cell RNA sequencing.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
This book:
Presents a comparative study of gradient boosted classifier and deep learning classifier for disease classification of multi-omics sequencing data.
Showcases biomarker discovery and differential expression analysis in Single-cell RNA sequencing data through the integrated model of data imputation, feature selection, and cell clustering.
Explains artificial intelligence, machine learning, and integrated models for DNA methylation and gene expression data analysis, and disease classification.
Covers the fundamentals of artificial intelligence, machine learning, deep learning, and cloud computing tools in bioinformatics.
Explores the rare cell detection, and transcriptomic analysis in single-cell RNA sequencing.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Undergraduate Advanced
Illustrations
18 s/w Photographien bzw. Rasterbilder, 51 s/w Zeichnungen, 17 s/w Tabellen, 69 s/w Abbildungen
17 Tables, black and white; 51 Line drawings, black and white; 18 Halftones, black and white; 69 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-041-06253-0 (9781041062530)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Saurav Mallik is currently working as Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Previously, he worked as Postdoctoral Fellow in Harvard T.H. Chan School of Public Health, Boston, MA, USA for more than three years (2019-2022), the Center of Precision Health, Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA for one and half year (2018-2019), and in the Division of Bio-statistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA for more than one year (2017-2018). He obtained his PhD degree in the Department of Computer Science and Engineering (C.S.E.) from Jadavpur University, Kolkata, India in 2017 while his PhD works carried out in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India as Junior Research Fellow and Visiting Scientist. He has obtained the award of Research Associateship from CSIR (Council of Scientific and Industrial Research), MHRD, Govt. of India in 2017. Dr. Mallik has more than 150 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. He published several Books and Patents (cited by >5000 times, H-index = 39). He is working as the active member of Institute of Electrical and Electronics Engineers (IEEE), USA, ACM and American Association for Cancer Research (AACR), USA and Bioclues, India. He has also worked with section editors and reviewers with several well-reputed high impact journals. His research interest includes Computational Biology, Knowledge Retrieval and Data Mining, Bioinformatics, Bio-Statistics and Machine Learning/Deep Learning.
Zhongming Zhao holds University Chair for Precision Health. He is the founding director of the Center for Precision Health, the University of Texas Health Science Center at Houston (UTHealth). Before he joined UTHealth in 2016, he was Ingram Endowed Professor of Cancer Research, Professor (tenured) in the Departments of Biomedical Informatics, Psychiatry, and Cancer Biology at Vanderbilt University Medical Center, Chief Bioinformatics Officer of the Vanderbilt-Ingram Cancer Center (VICC), Director of the VICC Bioinformatics Resource Center, and the Associate Director of the Vanderbilt Center for Quantitative Sciences. Dr. Zhao has broad interests in bioinformatics, genomics, data science/AI, population genetics, and precision medicine, and has co-authored over 600 total publications in these areas (cited by >33,000 times, H-index = 89). Dr. Zhao is the founding president of The International Association for Intelligent Biology and Medicine (IAIBM, 2018).
Namrata Tomar is currently working as Assistant clinical research associate, Thermofisher scientific Inc, USA. Previously, she worked as an Assistant Clinical Research Associate, Medical College of Wisconsin, Milwaukee, WI 53226, USA. She performs both the experimental lab experiments and computational modeling on the experimental data. She worked as Postdoctoral Fellow in Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, USA (2016-2021). She also worked as Visiting Scientist at Laboratory of Systems Tumor and Immune Biology, Department of Dermatology, University Hospital, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany (2014-2016). She obtained her PhD degree in the Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, Kolkata, India in 2015 while her PhD works carried out in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. Dr. Tomar has more than 75 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. She published several Books (cited by >900 times, H-index = 14). She has also worked with section editors and reviewers with several well-reputed high impact journals. Her research interest includes Computational Biology, Bioinformatics, Bio-Statistics, Mitochondrial Biology and Biomedical Engineering.
Soumita Seth is currently serving as an Assistant Professor in the Department of Computer Science and Engineering of Future Institute of Engineering and Management, Kolkata, India, Affiliated to MAKAUT, Kolkata. Besides, she is recently submitted her PhD thesis in the Department of Computer Science & Engineering (CSE) from a state-government university, Aliah University (AU), Kolkata, India. Previously, she completed M.Tech. and B.Tech. from the departments of CSE and IT, respectively. She is also collaborating her PhD research with The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA. She has Academic Experience of almost 9 years, Fulltime Research Experience of 2 years, and Industrial Experience of 2 years. Dr. Seth has more than 12 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. She published several Books (cited by >200 times, H-index = 6). She has also worked with section editors and section reviewers with several well-reputed high impact journals. Her research interests include Computational Biology, Data Mining, Bioinformatics, Pattern Recognition, Biological Regulatory Networks, Biostatistics, Machine learning/Deep learning.
Saiyed Umer working as an Assistant Professor in the Department of Computer Science & Engineering, Aliah University, Kolkata, India. He obtained his PhD degree in the Department of Computer Science and Engineering (C.S.E.) from Jadavpur University, Kolkata, India in 2017 while his PhD works carried out at Indian Statistical Institute, Kolkata, India. Dr. Umer has more than 60 research publications in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. He published several Books and Patents (cited by >1800 times, H-index = 23). He has also worked with section editors and reviewers with several well-reputed high impact journals. His research interest includes Computer Vision, Machine Learning/Deep Learning, Biometric, Affective Computing (Facial Expression Recognition), Video Analysis, AI in Agriculture.
Tapas Bhadra is currently working as an Assistant Professor in the Department of Computer Science and Engineering, Aliah University, Kolkata, India. He obtained his Ph.D. degree from the Department of Computer Science and Engineering of Jadavpur University, Kolkata, India in 2018. Prior to this, he was an INSPIRE Fellow in the Machine Intelligence Unit, Indian Statistical Institute, Kolkata, from 2011 to 2015. Dr. Bhadra is co-authored more than 30 research papers and several books (cited by >600 times, H-index = 12). He has also worked with section editors and reviewers with several well-reputed high impact journals. His research interests include pattern recognition, data mining, computational biology, and bioinformatics.
Ranjeet Kumar Rout working as an Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology, Srinagar, India. He obtained his PhD degree in the Department of Computer Science and Engineering (C.S.E.) from Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, India in 2018. Dr. Rout has more than 25 research publications in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. He published several Books and Patents. He has also worked with section editors and reviewers with several well-reputed high impact journals (cited by >1400 times, H-index = 21). His research interest includes Computer Vision, Biometric, Information Security and Privacy, Computational Biology (Biological data Analytics) and Cyber Physical Systems.
Zhongming Zhao holds University Chair for Precision Health. He is the founding director of the Center for Precision Health, the University of Texas Health Science Center at Houston (UTHealth). Before he joined UTHealth in 2016, he was Ingram Endowed Professor of Cancer Research, Professor (tenured) in the Departments of Biomedical Informatics, Psychiatry, and Cancer Biology at Vanderbilt University Medical Center, Chief Bioinformatics Officer of the Vanderbilt-Ingram Cancer Center (VICC), Director of the VICC Bioinformatics Resource Center, and the Associate Director of the Vanderbilt Center for Quantitative Sciences. Dr. Zhao has broad interests in bioinformatics, genomics, data science/AI, population genetics, and precision medicine, and has co-authored over 600 total publications in these areas (cited by >33,000 times, H-index = 89). Dr. Zhao is the founding president of The International Association for Intelligent Biology and Medicine (IAIBM, 2018).
Namrata Tomar is currently working as Assistant clinical research associate, Thermofisher scientific Inc, USA. Previously, she worked as an Assistant Clinical Research Associate, Medical College of Wisconsin, Milwaukee, WI 53226, USA. She performs both the experimental lab experiments and computational modeling on the experimental data. She worked as Postdoctoral Fellow in Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, USA (2016-2021). She also worked as Visiting Scientist at Laboratory of Systems Tumor and Immune Biology, Department of Dermatology, University Hospital, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany (2014-2016). She obtained her PhD degree in the Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, Kolkata, India in 2015 while her PhD works carried out in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. Dr. Tomar has more than 75 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. She published several Books (cited by >900 times, H-index = 14). She has also worked with section editors and reviewers with several well-reputed high impact journals. Her research interest includes Computational Biology, Bioinformatics, Bio-Statistics, Mitochondrial Biology and Biomedical Engineering.
Soumita Seth is currently serving as an Assistant Professor in the Department of Computer Science and Engineering of Future Institute of Engineering and Management, Kolkata, India, Affiliated to MAKAUT, Kolkata. Besides, she is recently submitted her PhD thesis in the Department of Computer Science & Engineering (CSE) from a state-government university, Aliah University (AU), Kolkata, India. Previously, she completed M.Tech. and B.Tech. from the departments of CSE and IT, respectively. She is also collaborating her PhD research with The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA. She has Academic Experience of almost 9 years, Fulltime Research Experience of 2 years, and Industrial Experience of 2 years. Dr. Seth has more than 12 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. She published several Books (cited by >200 times, H-index = 6). She has also worked with section editors and section reviewers with several well-reputed high impact journals. Her research interests include Computational Biology, Data Mining, Bioinformatics, Pattern Recognition, Biological Regulatory Networks, Biostatistics, Machine learning/Deep learning.
Saiyed Umer working as an Assistant Professor in the Department of Computer Science & Engineering, Aliah University, Kolkata, India. He obtained his PhD degree in the Department of Computer Science and Engineering (C.S.E.) from Jadavpur University, Kolkata, India in 2017 while his PhD works carried out at Indian Statistical Institute, Kolkata, India. Dr. Umer has more than 60 research publications in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. He published several Books and Patents (cited by >1800 times, H-index = 23). He has also worked with section editors and reviewers with several well-reputed high impact journals. His research interest includes Computer Vision, Machine Learning/Deep Learning, Biometric, Affective Computing (Facial Expression Recognition), Video Analysis, AI in Agriculture.
Tapas Bhadra is currently working as an Assistant Professor in the Department of Computer Science and Engineering, Aliah University, Kolkata, India. He obtained his Ph.D. degree from the Department of Computer Science and Engineering of Jadavpur University, Kolkata, India in 2018. Prior to this, he was an INSPIRE Fellow in the Machine Intelligence Unit, Indian Statistical Institute, Kolkata, from 2011 to 2015. Dr. Bhadra is co-authored more than 30 research papers and several books (cited by >600 times, H-index = 12). He has also worked with section editors and reviewers with several well-reputed high impact journals. His research interests include pattern recognition, data mining, computational biology, and bioinformatics.
Ranjeet Kumar Rout working as an Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology, Srinagar, India. He obtained his PhD degree in the Department of Computer Science and Engineering (C.S.E.) from Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, India in 2018. Dr. Rout has more than 25 research publications in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters. He published several Books and Patents. He has also worked with section editors and reviewers with several well-reputed high impact journals (cited by >1400 times, H-index = 21). His research interest includes Computer Vision, Biometric, Information Security and Privacy, Computational Biology (Biological data Analytics) and Cyber Physical Systems.
Content
1. Biomedical Image Processing Meets Deep Learning: A Review of Current Trends in Cancer Stage Detection. 2. Transforming Cancer Detection: The Impact of Deep Learning on Biomedical Imaging. 3. Decoding Morphological Cues in MRI for Brain Lesion Delineation. 4. AI-Driven Classification and Biomarker Discovery in Alzheimer's Disease: Toward Early Detection and Therapeutic Insight. 5. Machine Learning-Driven DNA Mutation Detection and CRISPR Gene Editing Visualization Techniques. 6. Deciphering the methylome landscape using AI for Cancer precision medicine. 7. Integrative Multi-omics for Cancer Diagnosis and Therapy: Computational Approaches to Epigenetics, Cellular Dynamics and Mitochondrial Function. 8. Advancing Gene Regulatory Network Inference: Hybrid Modeling, Scalability, and Network-Level Insights. 9. Biomarker Discovery and Differential Expression Analysis In Single Cell Sequencing Data Through the Integrated Model of Data Imputation, Feature Selection, Cell Clustering. 10. Business Analytics-Driven Insights into Epigenetics, Cellular Dynamics, and Mitochondrial Function Using Computational Intelligence. 11. Revolutionizing Biometric Systems with Multi-Agent AI: LLMs, MoNE Optimization, and Cloud Integration. 12. Integrating Multiple Views with HMMs and Neural Nets for Accurate Protein Secondary Structure Prediction. 13. Integrative Computational Models for Predicting Crop Traits Using Multi-OMICs Data.14. Application of Nanotechnology in Cancer Diagnosis, Biomarker Discovery and Drug Discovery. 15. Targeting Electro-Chemical Signaling Pathways for Cancer Therapy.