2019 9th International Conference on Computational Advances in Bio and medical Sciences (ICCABS)
Nov. 15-17, 2019, Florida International University, Miami, Florida

Important Dates
Paper submission:

  October 11, 2019
October 04, 2019
September 20, 2019

Notification of acceptance:

  October 25, 2019
October 20, 2019

Early registration deadline:

  November 08, 2019
November 01, 2019
October 22, 2019

Camera-ready papers due on:

  November 10, 2019
October 25, 2019


Best Paper

Best Paper awarded to Shuzhen Kuang and Liangjiang Wang, Deep learning of CTCF-mediated chromatin loops in 3D genome organization. Congratulations!

Accepted Papers
  • Jiefu Li, Jung-Youn Lee and Li Liao. Detecting de novo Plasmodesmata targeting signals and identifying PD targeting proteins
  • Sakib Mostafa, Wutao Yin and Fang-Xiang Wu. Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder
  • Md. Khaledur Rahman. FastFeatGen: Faster parallel feature extraction from genome sequences and efficient prediction of DNA $N^6$-methyladenine sites
  • Hsin-Hao Chen and Chung-Chin Lu. Optimized multiple fluorescence based detection in a single molecule synthesis process under high noise level environment
  • Georg Hahn, Sharon Marie Lutz and Christoph Lange. locStra: Fast analysis of local/global stratification in whole genome sequencing (WGS) studies
  • Ishwor Thapa and Hesham Ali. A new graph database system for multi-omics data integration and mining complex biological information
  • Chu-Yu Cheng and Chung-Chin Lu. The Agility of a Neuron: Phase Shift between Sinusoidal Current Input and Firing Rate Curve
  • Shuzhen Kuang and Liangjiang Wang. Deep learning of CTCF-mediated chromatin loops in 3D genome organization
  • Trevor Cickovski, Astrid Manuel, Kalai Mathee, Michael Campos and Giri Narasimhan. Effects of Various Alpha-1 Antitrypsin Supplement Dosages on the Lung Microbiome and Metabolome
  • Mohammad Mohebbi, Liang Ding, Russell L. Malmberg and Liming Cai. A Multi-Hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction
  • Steffen Heber, Anna Stepanova, Jose Alonso and Patrick Perkins. RiboSimR: a tool for simulation and power analysis of Ribo-seq experiments
  • Khajamoinuddin Syed, William Sleeman Iv, Joseph Nalluri, Payal Soni, Michael Hagan, Jatinder Palta, Rishabh Kapoor and Preetam Ghosh. Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data
  • Abdullah Baihan, Reda Ammar, Robert Aseltine, Mohammed Baihan and Sanguthevar Rajasekaran. Efficient Sequential and Parallel Algorithms for Incremental Record Linkage

  • Accepted Posters
  • Qasem Abu Al-Haija and Kamal Al Nasr. Parametric Prediction Model for Annual Growth of Electron Microscopy Data

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