List of Short Abstracts

Short Paper

  1. Terry Ma, Xin Xing and Di Xiao. MetaMat: Reference-free Metagenomic Binning By Matrix Deconvolution
  2. Ming Yan, Yi Pan, Ling Liu and Sihan Chen. A Deep Learning Method for Prediction of Benign Epilepsy with Centrotemporal Spikes
  3. Ke Huang, Shubo Yang, Zhaojian Luo, Ke Yang, Menghan Chen, Guopeng Wei and Jian Huang. A Fast Genome Sequence Aligner Based on Minimal Perfect Hash Algorithm Realized with FPGA Based Heterogeneous Computing Platform
  4. Ilmi Fadhilah Rizki, Mochammad Arfin Fardiansyah Nasution, Syafrida Siregar, Mega Maulina Ekawati and Usman Sumo Friend Tambunan. Screening of Sonic Hedgehog (Shh) Inhibitors in the Hedgehog Signaling Pathway from Traditional Chinese Medicine (TCM) Database through Structure-Based Pharmacophore Design
  5. Satya Anindita, Atika Marnolia, Hersal Permana Putra, Muhammad Chandra Haikal and Usman Sumo Friend Tambunan. Novel Inhibitors of BCL-ABR1 Tyrosine Kinase for Chronic Myeloid Leukemia Disease through Fragment-based Drug Design
  6. Ping Luo, Li-Ping Tian, Bolin Chen, Qianghua Xiao and Fangxiang Wu. Predicting Gene-Disease Associations with Manifold Learning
  7. Alexander Churkin and Danny Barash. A biologically meaningful extension of the efficient method for deleterious mutations prediction in RNAs: insertions and deletions in addition to substitution mutations
  8. Liyuan Liu, Meng Han, Yiyun Zhou and Yan Wang. LSTM Recurrent Neural Networks for Influenza Trends Prediction
  9. Yubao Wu, Pavel Skums, Alex Zelikovsky, David S. Campo and Xueting Liao. Predicting Opioid Epidemic by Using Twitter Data
  10. Devin Haslam, Salim Sazzed and Jing He. A Pattern Recognition Tool for Medium-resolution Cryo-EM Density Maps and Low-resolution Cryo-ET Density maps