Track 1

1. Letu Qingge, Killian Smith, Sean Jungst and Binhai Zhu. On Approaching the One-sided Exemplar Adjacency Number Problem
2. Fang Jing, Shaowu Zhang, Zhen Cao and Shihua Zhang. An integrative framework for combing sequence and epigenomic data to predict transcription factor binding sites using deep learning
3. Daniel W. Schultz and Bojian Xu. On $k$-mismatch Shortest Unique Substring Queries Using GPU
4. Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu and Min Li. PBMarsNet: A multivariate adaptive regression splines based method to reconstruct Gene Regulatory Networks
5. Tunazzina Islam, Desh Ranjan, Eleanor Young, Ming Xiao, Mohammad Zubair and Harold Riethman. REXTAL: Regional Extension of Assemblies Using Linked-Reads
6. Zhen Zhang, Jianxin Wang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu and Yi Pan. Sprites2: detection of deletions based on an accurate alignment strategy
7. Yue Zhao. An Extension of Deep Pathway Analysis: A Pathway Route Analysis Framework Incorporating Multi-dimensional Cancer Genomics Data
8. Jingrong Zhang, Zihao Wang, Yu Chen and Fa Zhang. Memory-effcient and Stabilizing Management System and Parallel Methods for RELION using CUDA and MPI
9. Xiaofeng Fu, Yiqun Xiao and Yang Yang. Prediction of type III secreted effectors based on word embedding for protein sequences
10. Lei Deng, Zuojin Dong and Hui Liu. XPredRBR: Accurate and Fast Prediction of RNA-Binding Residues in Proteins Using eXtreme Gradient Boosting
11. Qingfeng Chen, Canshang Deng, Jin Liu, Ruiqing Zheng, Jianxin Wang and Wei Lan. KSIBW: Predicting kinase-substrate interactions based on bi-random walk
12. Krzysztof Gogolewski, Maciej Sykulski, Neo Christopher Chung and Anna Gambin. Truncated robust principal component analysis and noise reduction for single cell RNA-seq data
13. Sagi Snir and Ben Yohay. Extending the Evolvability Model to the Prokaryotic World: Simulations and Results on Real Data
14. Albert Ng, Adedayo Odesile and Dong Si. GPU Accelerated Ray Tracing for the Beta-Barrel Detection from Three-dimensional Cryo-EM Map
15. Guangdi Liu, Yuan Xia, Chuanwei Yang and Le Zhang. The review of the major entropy methods and applications in biomedical signal research
16. Kai Shi, Lin Gao and Bingbo Wang. Inferring Dysregulated Pathways of Driving Cancer Subtypes through Multi-omics Integration
17. Suyun Huang and Xingming Zhao. Prediction of drug response with a topology based dual-layer network model
18. Qiao Zhu, Jiawei Luo, Pingjian Ding and Qiu Xiao. GRTR: Drug-disease association prediction based on graph regularized transductive regression on heterogeneous network
19. Jucheol Moon and Oliver Eulenstein. Cluster Matching Distance for Rooted Phylogenetic Trees
20. Huiyu Li, Sheng-Jun Li, Junliang Shang, Jin-Xing Liu and Chun-Hou Zheng. An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-Omics Features
21. Sagi Snir. Bounds on Identification of Genome Evolution Pacemakers
22. Marmar Moussa and Ion Mandoiu. Locality Sensitive Imputation for single-cell RNA-Seq data

Track 2

1. Ximei Luo, Yuming Zhao, Fang Wang and Guohua Wang. Identification of methylation states of DNA regions for Illumina Methylation BeadChip
2. Yuehui Wang, Maozu Guo, Yazhou Ren, Lianyin Jia and Guoxian Yu. Drug Repositioning based on Individual Bi-random Walks on a Heterogenous Network
3. Cheng Yan, Jianxin Wang, Fang-Xiang Wu and Yi Pan. DDIGIP: Predicting drug-drug interactions based on Gaussian interaction profile kernels
4. Benika Hall and Xinghua Shi. Identifying MicroRNA-Gene Networks Specific to Pathologic Stages in Colon Cancer
5. Bingchen Yu, Meng Han, Liyuan Liu, Liquan Bai, Yan Huang and Yi Liang. Data-driven Approach for Understanding the Mild Cognitive Impairment
6. Neo Christopher Chung, Błażej Miasojedow, Michał Startek and Anna Gambin. Jaccard/Tanimoto similarity test and estimation methods to evaluate species co-occurrences
7. Pakeeza Akram and Li Liao. Predicting Comorbid Diseases with Geometric Embedding of Human Interactome
8. Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai and Tianwei Yu. Detecting Differential Consistency Genes and Network Modules
9. Lihua Wang and Zhi-Ping Liu. Detecting diagnostic biomarkers of Alzheimer's disease by integrating gene expression data in six brain regions
10. Sen Zhang, Ronald Cw Ma and Weichuan Yu. Region-Based Interaction Detection in Genome-Wide Case-Control Studies
11. Fei Guo and Jijun Tang. A Novel Multi-Scale Local Sequence and Structural Representation for Identifying Protein-Protein Complexes
12. Jinhong Shi, Yan Yan, Michael Horsch, Mathew Links, Longhai Li and Antony Kusalik. Deep Feature Selection with Application in Neisseria Gonorrhoeae Antimicrobial Resistance Study
13. Gur Sevillya, Orit Adato and Sagi Snir. Detecting Horizontal Gene Transfer: A Probabilistic Approach
14. Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Jun-Liang Shang, Rong Zhu and Sha-Sha Yuan. A New Method for Mining Information of Co-expression Network based on Multi-Cancers Integrated Data
15. Xin Li and Yufeng Wu. Detecting Circular RNA from High-throughput Sequence Data with De Bruijn Graph
16. Hui Ying, Wei Pi-Jing, Xia Junfeng and Zheng Chun-Hou. MECoRank: Cancer Driver Genes Discovery Simultaneously Evaluating the Impact of SNPs and Differential Expression on Transcriptional Networks
17. Yuping Lu, Charles Phillips and Michael Langston. A Robustness Metric for Biological Data Clustering Algorithms
18. Lingkai Tang, Yulian Ding and Fangxiang Wu. Joint SNMF method for nding modules of multiple brain networks
19. Xia Cao, Jie Liu, Maozu Guo and Jun Wang. HiSSI: High-order SNP-SNP Interactions Detection based on Efficient Significant Pattern and Differential Evolution
20. Hua Zhong and Mingzhou Song. Non-monotonic directional association test reveals high-quality putative cancer driver noncoding RNAs and biomarkers
21. Hui Tang, Ying Tang, Luonan Chen and Tao Zeng. Revealing the tipping points during infant brain development for human and chimpanzee by analysis of gene expression data
22. Junrong Song, Feng Wang, Wei Peng and Jianxin Wang. Identifying driver genes involving gene dyregulated expression, tissue-specic expression and gene-gene network
23. Sheikh Jubair, Luis Rueda and Alioune Ngom. Identifying subtype specific network-biomarkers of breast cancer survivability
24. Hongda Bu, Jiaqi Hao, Yanglan Gan, Jihong Guan and Shuigeng Zhou. DEEPSEN: a new method for super-enhancer prediction based on convolutional neural network
25. Min Li, Li Tang, Fangxiang Wu and Yi Pan. CSA: a web service for the complete process of ChIP-Seq analysis
26. Zhongjia Wu, Yufeng Wu and Jingyang Gao. InvBFM: Finding Genomic Inversions from High-throughput Sequence Data based on Feature Mining
27. Yingbo Cui, Minxia Cheng, Jiaming Xu, Xiangke Liao and Shaoliang Peng. OffScan: a universal CRISPR off-target sites detection tool
28. Yue Zhao, Stephanie Piekos, Tham Hoang and Dong-Guk Shin. A Framework using Topological Pathways for Deeper Analysis of Transcriptome Data
29. Prapaporn Techa-Angkoon, Kevin Childs and Yanni Sun. GPRED-GC: a Gene PREDiction model accounting for 5'-3' GC gradient
30. Liu Shuhui and Shang Xuequn. Hierarchical Similarity Network Fusion for Discovering Cancer Subtypes