This book presents cutting-edge research in computational methods applied to biological and medical challenges. The 15 selected papers, originating from the 9th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2019), showcase advancements in diverse fields. These include the analysis of biological networks, cancer genomics, functional genomics, and protein structure prediction, utilizing techniques from dynamic programming and machine learning. The collection addresses complex problems in areas such as biomedical image analysis and microbiome analysis, reflecting the interdisciplinary nature of modern bio-medical research.

This collection of revised papers from ICCABS 2019 offers a snapshot of current computational approaches in bio and medical sciences. The selection focuses on a range of specialized topics, suggesting a readership of researchers and advanced students in these fields. The depth and breadth of the included subjects indicate a text that is likely to be dense and technically oriented, providing detailed insights into specific analytical methods and their applications.