Detecting de novo Plasmodesmata targeting signals and identifying PD targeting proteins -- The Agility of a Neuron: Phase Shift between Sinusoidal Current Input and Firing Rate Curve -- Efficient Sequential and Parallel Algorithms for Incremental Record Linkage -- Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder -- FastFeatGen: Faster parallel feature extraction from genome sequences and efficient prediction of DNA $Nˆ6$-methyladenine sites -- Optimized multiple fluorescence based detection in a single molecule synthesis process under high noise level environment -- Deep learning of CTCF-mediated chromatin loops in 3D genome organization -- Effects of Various Alpha-1 Antitrypsin Supplement Dosages on the Lung Microbiome and Metabolome -- A Multi-Hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction -- RiboSimR: a tool for simulation and power analysis of Ribo-seq experiments -- Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data -- Parametric Prediction Model for Annual Growth of Electron Microscopy Data -- locStra: Fast analysis of local/global stratification in whole genome sequencing (WGS) studies -- A new graph database system for multi-omics data integration and mining complex biological information -- SMART2: Multi-Library Statistical Mitogenome Assembly with Repeats.

This book constitutes revised selected papers from the 9th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2019, held in Miami, Florida, USA in November 2019. The 15 papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with topics such as computational biology; biomedical image analysis; biological networks; cancer genomics; gene enrichment analysis; functional genomics; interaction networks; protein structure prediction; dynamic programming; and microbiome analysis.