Computational Advances in Bio and Medical Sciences: 9th International Conference, ICCABS 2019, Miami

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 $N_6$-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.