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Computational Advances in Bio and Medical Sciences

9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Ion Măndoiu

    1. University of Connecticut, Storrs, USA

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  2. T. M. Murali

    1. Virginia Tech, Blacksburg, USA

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  3. Giri Narasimhan

    1. Florida International University, Miami, USA

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  4. Sanguthevar Rajasekaran

    1. University of Connecticut, Storrs, USA

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  5. Pavel Skums

    1. Georgia State University, Atlanta, USA

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  6. Alexander Zelikovsky

    1. Georgia State University, Atlanta, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12029)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ICCABS 2019.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Detecting De Novo Plasmodesmata Targeting Signals and Identifying PD Targeting Proteins

    • Jiefu Li, Jung-Youn Lee, Li Liao
    Pages 1-12

  3. The Agility of a Neuron: Phase Shift Between Sinusoidal Current Input and Firing Rate Curve

    • Chu-Yu Cheng, Chung-Chin Lu
    Pages 13-25

  4. Efficient Sequential and Parallel Algorithms for Incremental Record Linkage

    • Abdullah Baihan, Reda Ammar, Robert Aseltine, Mohammed Baihan, Sanguthevar Rajasekaran
    Pages 26-38

  5. Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder

    • Sakib Mostafa, Wutao Yin, Fang-Xiang Wu
    Pages 39-51

  6. FastFeatGen: Faster Parallel Feature Extraction from Genome Sequences and Efficient Prediction of DNA \(N^6\)-Methyladenine Sites

    • Md. Khaledur Rahman
    Pages 52-64

  7. Optimized Multiple Fluorescence Based Detection in Single Molecule Synthesis Process Under High Noise Level Environment

    • Hsin-Hao Chen, Chung-Chin Lu
    Pages 65-76

  8. Deep Learning of CTCF-Mediated Chromatin Loops in 3D Genome Organization

    • Shuzhen Kuang, Liangjiang Wang
    Pages 77-89

  9. Effects of Various Alpha-1 Antitrypsin Supplement Dosages on the Lung Microbiome and Metabolome

    • Trevor Cickovski, Astrid Manuel, Kalai Mathee, Michael Campos, Giri Narasimhan
    Pages 90-101

  10. A Multi-hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction

    • Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Liming Cai
    Pages 102-120

  11. RiboSimR: A Tool for Simulation and Power Analysis of Ribo-seq Data

    • Patrick Perkins, Anna Stepanova, Jose Alonso, Steffen Heber
    Pages 121-133

  12. Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-center Study with Veterans Health Administration Data

    • Khajamoinuddin Syed, William Sleeman IV, Joseph Nalluri, Payal Soni, Michael Hagan, Jatinder Palta et al.
    Pages 134-146

  13. Forecasting Model for the Annual Growth of Cryogenic Electron Microscopy Data

    • Qasem Abu Al-Haija, Kamal Al Nasr
    Pages 147-158

  14. Local and Global Stratification Analysis in Whole Genome Sequencing (WGS) Studies Using LocStra

    • Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Christoph Lange
    Pages 159-170

  15. A New Graph Database System for Multi-omics Data Integration and Mining Complex Biological Information

    • Ishwor Thapa, Hesham Ali
    Pages 171-183

  16. SMART2: Multi-library Statistical Mitogenome Assembly with Repeats

    • Fahad Alqahtani, Ion Măndoiu
    Pages 184-198

  17. Back Matter

    Pages 199-199
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Other volumes

  1. Computational Advances in Bio and Medical Sciences

Keywords

About this book

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.

Editors and Affiliations

  • University of Connecticut, Storrs, USA

    Ion Măndoiu, Sanguthevar Rajasekaran

  • Virginia Tech, Blacksburg, USA

    T. M. Murali

  • Florida International University, Miami, USA

    Giri Narasimhan

  • Georgia State University, Atlanta, USA

    Pavel Skums, Alexander Zelikovsky

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