Accepted Posters


Number Authors Titles
24 Qi Tian MRCNN: A deep learning model for regression of genome-wide DNA methylation
26 Kishan K C GNE: A deep learning framework for gene network inference by aggregating biological information
29 Rui Jiang DeepHistone: a deep learning approach to predicting histone modifications
31 Wentign Liu Fusing Gene Expression and Transitive Protein-Protein Interaction for Gene Regulatory Networks
33 Changlong Gu FCMDAP: Using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs
46 Min Xu Automatic Localization and Identification of Mitochondria in Cellular Electron Cryo-Tomography using Faster-RCNN
49 Lin Hou Identification of trans-eQTLs using mediation analysis with multiple mediators
62 Inkyung Jung A new class of super-enhancers associated with fast recovery of 3D chromatin loops
87 Shanshan Ren GPU Accelerated Sequence Alignment with Traceback for GATK HaplotypeCaller
108 Aïda Ouangraoua SplicedFamAlign: CDS-to-gene spliced alignment and identification of transcript orthology groups
109 Li Xia Extending Liquid Association to Explore Mediated Co-varying Dynamics in Marine Microbial Community
140 Wei-Mou Zheng Constructing optimal energy functions for protein structure prediction using reverse Monte Carlo sampling
146 Xuequn Shang A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data
150 Pei Hao Microbiota in the Apical Root Canal System of Tooth with Apical Perodontitis
151 Rex Asabor An Algorithm to Predict Feature-Based Gene Equivalence Between Mouse Strains
152 Yao Lin and Kui Lin Identification and classification of long noncoding RNAs in cucumis sativus
153 Shaista Hussain, Binh P. Nguyen, Mardiana Marzuki, Lin Shuping, Graham Wright and Amit Singhal Identification and profiling of drug-induced cellular phenotypes in human monocytes using machine learning
155 Hsiao-Wei Wu and Chih-Hao Lu Prediction of cancer related single amino acid variation by machine learning method
157 Ziwei Chen, Shaokun An, Xiangqi Bai, Fuzhou Gong, Liang Ma and Lin Wan Topology data analysis to visualize and reconstruct complex trajectories of cell development for large-scale scRNA-seq data
158 Liang Ma TSEE: an elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data
159 Hu Ying and Wang Ju Pathway-based approaches for analysis of candidate genes associated with neuropsychiatric disorders
160 Ting Ma, Yiyi Jiang, Yuanhua Liu and Pei Hao A survey on cellular RNA editing activity in response to HBV infections of human hepatocellular carcinoma patients
161 Xinrui Lin, Kui Lin, Ning Zhang and Erli Pang The detection of positive selection signals in human populations
162 Ran Zhong and Xingpeng Jiang Microbial Interaction Extraction based on Feature Vector and SVM
163 Xin Li a, Yufeng Wu Detecting Circular RNA from High-throughput Sequence Data with De Bruijn Graph
164 Chuan Fu Yap, Simon Hubbard, Jean-Marc Schwartz GRaPe 2.0: Accelerating the construction of kinetic models for cell metabolism
165 Yunqing Ren Anti-TNF-α Treatment-related Pathways and Biomarkers Revealed by Transcriptome Analysis in Chinese Psoriasis Patients
166 Wenting Liu and Yilei Zhang Enhanced knowledge generation of rate-changes in transcriptional regulation using ontology rules, sentence structure and deep neural networks
167 Shion Hosoda and Michiaki Hamada A new model for predicting metagenomic functional profile from 16S rRNA gene amplicon sequencing data
168 Chien-Jung Huang and Yu-Chao Wang Identification of the therapeutic targets for selective killing of HBV-positive hepatocytes
170 Xinhua Liu, Yuan Zhou and Qinghua Cui A Comprehensive Comparison Study Between Genes Associated with Different Drug Sensitivity of Cancer Cells Based on Connectivity Map
171 Yaosen Min, Shang Liu , Xuefeng Cui Learning Protein Structural Fingerprints under the Label-Free Supervision of Domain Knowledge
177 Quan Chen Detecting virus-specific effects on post-infection temporal gene expression