Biological Networks in Human Health and Disease
Springer Verlag, Singapore
978-981-99-4241-1 (ISBN)
Dr. Romana Ishrat is Associate Professor at the Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia University, where she has been a faculty member since 2007. Her research interests lie in the area of Bioinformatics and computational biology, ranging from graph theory to network analysis, network medicine and its implementation in investigating various biomedical problems at molecular biology level. She has served on various international and national conferences program committees and successfully organized a conference on Big Data and Computational Biology (2019). She has more than 15 years of teaching experience in computer science and bioinformatics. Her research group presently working in the areas of analyzing networks for understanding disease dynamics like p53, breast cancer, Tuberculosis MTB, Turner Syndrome, Spesis, CardioRenal Syndrome and Parathyroid. She has 50 research articles in the peer-reviewed international.
Chapter 1. Graph Theory in the Biological Networks.- Chapter 2. Biological Networks Analysis.- Chapter 3. Network Analysis based software packages, tools, and web servers to accelerate bioinformatics research.- Chapter 4. Networks Analytics of Heterogeneous Big Data.- Chapter 5. Network Medicine: Methods and Applications.- Chapter 6. Role of R in Biological Network Analysis.- Chapter 7. Machine Learning in Biological Networks.
Erscheinungsdatum | 14.10.2023 |
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Zusatzinfo | 1 Illustrations, black and white; X, 125 p. 1 illus. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Medizin / Pharmazie ► Allgemeines / Lexika | |
Medizin / Pharmazie ► Medizinische Fachgebiete | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
Schlagworte | Big Data Analytics • Bioinformatics • Biological Networks • machine learning • Network Medicine |
ISBN-10 | 981-99-4241-1 / 9819942411 |
ISBN-13 | 978-981-99-4241-1 / 9789819942411 |
Zustand | Neuware |
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