Jiawei Luo

Jiawei Luo, Ruinan Nie, Hoang Tu Nguyen, 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge

Chee-Keong Kwoh, Jiawei Luo, Pingjian Ding, 2019, IEEE Journal of Biomedical and Health Informatics.

Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs

Hamido Fujita, Jianhua Dai, Jiawei Luo, 2019, Knowl. Based Syst..

Profiling and Integrated Analysis of the ERCC6-regulated circRNA-miRNA-mRNA Network in Lens Epithelial Cells

Jiawei Luo, Guowei Zhang, H. Guan, 2021, Current eye research.

Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks

Cheng Liang, Jiawei Luo, Pingjian Ding, 2018, Neurocomputing.

Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning

Cheng Liang, Jiawei Luo, Pingjian Ding, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity

Cheng Liang, Jiawei Luo, Qiu Xiao, 2018, J. Biomed. Informatics.

SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations

Ying Liu, Jiawei Luo, Chu Pan, 2020, Briefings Bioinform..

miRCom: Tensor Completion Integrating Multi-View Information to Deduce the Potential Disease-Related miRNA-miRNA Pairs

Pei Liu, Jiawei Luo, Xiangtao Chen, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Heterogeneous information network and its application to human health and disease

Chee-Keong Kwoh, Jiawei Luo, Pingjian Ding, 2019, Briefings Bioinform..

Identifying Functional Modules in Co-Regulatory Networks Through Overlapping Spectral Clustering

Jiawei Luo, Nguyen Hoang Tu, Ying Yin, 2018, IEEE Transactions on NanoBioscience.

Discovery of microRNAs and Transcription Factors Co-Regulatory Modules by Integrating Multiple Types of Genomic Data

Jiawei Luo, Chu Pan, Gen Xiang, 2017, IEEE Transactions on NanoBioscience.

A novel semi-supervised model for miRNA-disease association prediction based on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{d

Cheng Liang, Ka-Chun Wong, Jiawei Luo, 2018, Journal of Translational Medicine.

SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood

Cheng Liang, Huaxiang Zhang, Jiawei Luo, 2018, Journal of cellular and molecular medicine.

MRDGC: A Parallel Approach for the Identification of Master Regulators Based on the Differently Expressed Genes and the Regulatory Capacity of Regulators

Nguyen Hoang Tu, Jiawei Luo, Mingming Sun, 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations

Cheng Liang, Jiawei Luo, Jie Cai, 2018, Bioinform..

A new algorithm for essential proteins identification based on the integration of protein complex co-expression information and edge clustering coefficient

Juan Wu, Jiawei Luo, Jiawei Luo, 2015, Int. J. Data Min. Bioinform..

Prediction of microRNA–disease associations with a Kronecker kernel matrix dimension reduction model

Cheng Liang, Guanghui Li, Qiu Xiao, 2018 .

Multiview Consensus Graph Learning for lncRNA–Disease Association Prediction

Cheng Liang, Qiu Xiao, Pingjian Ding, 2020, Frontiers in Genetics.

A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network

Jiawei Luo, Qiu Xiao, Qiu Xiao, 2017, J. Biomed. Informatics.

An In Silico Method for Predicting Drug Synergy Based on Multitask Learning

Jiawei Luo, Pingjian Ding, Lingyun Luo, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation

Jiawei Luo, Yahui Long, Jiawei Luo, 2020, IEEE Journal of Biomedical and Health Informatics.

Ensembling graph attention networks for human microbe-drug association prediction.

Yong Liu, Xiaoli Li, C. Kwoh, 2020, Bioinformatics.

NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity

Jiawei Luo, Yahui Long, Jiawei Luo, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge

Jiawei Luo, Cong Shen, Zihan Lai, 2020, J. Chem. Inf. Model..

Inferring RNA-binding protein target preferences using adversarial domain adaptation

Zhaolei Zhang, Jiawei Luo, Ruihui Li, 2022, PLoS Comput. Biol..

Predicting human microbe-disease associations via graph attention networks with inductive matrix completion

Jiawei Luo, Yahui Long, Yan Xia, 2020, Briefings Bioinform..

WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network

Jiawei Luo, Yahui Long, Jiawei Luo, 2019, BMC Bioinformatics.

Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data

Jiawei Luo, Shiyu Liang, Shiyu Liang, 2015, J. Biomed. Informatics.

NCPCDA: network consistency projection for circRNA–disease association prediction

Cheng Liang, Jiawei Luo, Qiu Xiao, 2019, RSC advances.

Cancer subtype identification by consensus guided graph autoencoders

Jiawei Luo, Cheng Liang, Mingchao Shang, 2021, Bioinform..

Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization

Cheng Liang, Jiawei Luo, Cong Shen, 2019, J. Chem. Inf. Model..

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Cheng Liang, Huaxiang Zhang, Jiawei Luo, 2019, Molecular therapy. Nucleic acids.

Feature selection in machine learning: A new perspective

Shulin Wang, Sheng Yang, Jiawei Luo, 2018, Neurocomputing.

A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging

Cheng Liang, Yue Li, Jiawei Luo, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers

Xiaoli Li, C. Kwoh, Min Wu, 2021, bioRxiv.

Data augmentation based semi-supervised method to improve COVID-19 CT classification.

Yuting Bai, Jiawei Luo, Xiangtao Chen, 2023, Mathematical biosciences and engineering : MBE.

Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk

Cheng Liang, Jiawei Luo, Qiu Xiao, 2017, IEEE Access.

Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework

Jianhua Dai, Jiawei Luo, Qiu Xiao, 2019, IEEE Journal of Biomedical and Health Informatics.

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection

Yuejin Zhang, Jiawei Luo, Qiu Xiao, 2019, IEEE Access.

Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data

Qiu Xiao, Jiawei Luo, C. Liang, 2022, Frontiers in Genetics.

NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning

Jianhua Dai, Qiu Xiao, Jiawei Luo, 2021, Briefings Bioinform..

Potential circRNA-disease association prediction using DeepWalk and network consistency projection

Cheng Liang, Jiawei Luo, Hailin Chen, 2020, J. Biomed. Informatics.

iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion

Xiwei Tang, Jiancheng Zhong, Qiu Xiao, 2020, Molecular Genetics and Genomics.

Time Series Trend Analysis Based on K-Means and Support Vector Machine

Jiawei Luo, Bay Vo, Vo Van, 2016, Comput. Informatics.

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer

Cheng Liang, Qiu Xiao, Guanghui Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer

Cheng Liang, Jiawei Luo, Jie Cai, 2019, BMC Bioinformatics.

Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion

Cheng Liang, Zhaolei Zhang, Yue Li, 2014, Bioinform..

Feature Selection Based on Density Peak Clustering Using Information Distance Measure

Shulin Wang, Sheng Yang, Jiawei Luo, 2017, ICIC.

Protein functional class prediction using global encoding of amino acid sequence.

Jiawei Luo, Bo Liao, Qingguang Zeng, 2009, Journal of theoretical biology.

Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes

Jiawei Luo, Jiawei Luo, Yi Qi, 2015, PloS one.

Computational Identification of RNA-Seq Based miRNA-Mediated Prognostic Modules in Cancer

Jiao Zhang, Jiawei Luo, Chu Pan, 2020, IEEE Journal of Biomedical and Health Informatics.

A knowledge-driven network for fine-grained relationship detection between miRNA and disease

Jiawei Luo, Shengpeng Yu, C. Liang, 2022, Briefings Bioinform..

Identification and Characterization of N6-Methyladenosine CircRNAs and Methyltransferases in the Lens Epithelium Cells From Age-Related Cataract

Jiawei Luo, Hualin Yu, Guowei Zhang, 2020, Investigative ophthalmology & visual science.

AN EFFICIENT ALGORITHM FOR MINING SEQUENTIAL RULES WITH INTERESTINGNESS MEASURES

Tzung-Pei Hong, Thi-Thiet Pham, Jiawei Luo, 2013 .

GPU-Accelerated Histogram Generation on Smart-Phone and Webbrowser

Xianyi Zhu, Hai Jiang, Yan Zheng, 2017, SpaCCS Workshops.

Inferring human miRNA functional similarity based on gene ontology annotations

Ying Yin, Jiawei Luo, Buwen Cao, 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

Human disease MiRNA inference by combining target information based on heterogeneous manifolds

Cheng Liang, Jiawei Luo, Qiu Xiao, 2018, J. Biomed. Informatics.

Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks

Jiawei Luo, Fouad Kharroubi, Amiyne Zakouni, 2017, J. Comb. Optim..

A Survey of Regulatory Interactions Among RNA Binding Proteins and MicroRNAs in Cancer

Zhaolei Zhang, Jiawei Luo, Y. Liu, 2020, Frontiers in Genetics.

A new method for predicting essential proteins based on dynamic network topology and complex information

Jiawei Luo, Ling Kuang, Jiawei Luo, 2014, Comput. Biol. Chem..

A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs

Jiawei Luo, Tu Hoang Nguyen, Wenhe Zhao, 2019, ICIC.

Inferring MicroRNA Targets Based on Restricted Boltzmann Machines

Jiawei Luo, Pingjian Ding, Ying Liu, 2019, IEEE Journal of Biomedical and Health Informatics.

Ka-chun Wong, Jiawei Luo, Shengpeng Yu, 2018, Journal of Translational Medicine.

Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction

Jiawei Luo, Cong Shen, Xinru Tang, 2021, Briefings Bioinform..

WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network

Jiawei Luo, Yahui Long, 2019, BMC Bioinformatics.

Prediction of Essential Proteins Based on Local Interaction Density

Jiawei Luo, Yi Qi, Jiawei Luo, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models

Qingcai Chen, Jiawei Luo, Junjie Chen, 2023, Bioinformatics advances.

Pre-training graph neural networks for link prediction in biomedical networks

C. Kwoh, Yuan Fang, Min Wu, 2022, Bioinform..

BiModule: Biclique Modularity Strategy for Identifying Transcription Factor and microRNA Co-Regulatory Modules

Xin Li, Jiao Zhang, Jiawei Luo, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

MSGPs: A Novel Algorithm for Mining Sequential Generator Patterns

Tzung-Pei Hong, Thi-Thiet Pham, Jiawei Luo, 2012, ICCCI.

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs

Cheng Liang, Jiawei Luo, Shengpeng Yu, 2019, PLoS Comput. Biol..

iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models

Qingcai Chen, Jiawei Luo, Junjie Chen, 2022, Bioinformatics advances.

iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models

Qingcai Chen, Jiawei Luo, Junjie Chen, 2022, ArXiv.

Curvature-enhanced graph convolutional network for biomolecular interaction prediction

Kelin Xia, Jiawei Luo, Pingjian Ding, 2023, Computational and structural biotechnology journal.

Discovery of novel multi-functional peptides by using protein language models and graph-based deep learning

Bin Liu, Yang Zhang, Jiawei Luo, 2023, bioRxiv.

IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors

Jiawei Luo, Pingjian Ding, Xiangtao Chen, 2020, Bioinform..

scSemiGAN: a single-cell semi-supervised annotation and dimensionality reduction framework based on generative adversarial network

Jiawei Luo, Zehao Xiong, Zhongyuan Xu, 2022, Bioinform..

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism.

Y. Liu, Wanwan Shi, Jiawei Luo, 2023, Briefings in bioinformatics.

Explore synergistic and competitive miRNA regulation mechanisms in the miRNA-mRNA regulatory network from the information decomposition perspective

Ying-Poi Liu, Jiawei Luo, Yi Yang, 2021, bioRxiv.

Data Augmentation for Sentiment Analysis Using Sentence Compression-Based SeqGAN With Data Screening

Tomoaki Ohtsuki, Mondher Bouazizi, Jiawei Luo, 2021, IEEE Access.

scGCL: an imputation method for scRNA-seq data based on graph contrastive learning

Y. Liu, Wanwan Shi, Jiawei Luo, 2023, Bioinform..

Missing value estimation for microarray data based on fuzzy C-means clustering

YanWang, JiaWei Luo, TaoYang, 2005, Eighth International Conference on High-Performance Computing in Asia-Pacific Region (HPCASIA'05).

A Novel Cluster-Based Computational Method to Identify miRNA Regulatory Modules

Jiawei Luo, Ying Yin, Chu Pan, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

MTMO: an efficient network-centric algorithm for subtree counting and enumeration

Cheng Liang, Zheng Xiao, Guanghui Li, 2018, Quantitative Biology.

A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human

Cheng Liang, Zhaolei Zhang, Yue Li, 2015, Bioinform..

Sampling Network Motif Detection Algorithm Based on Subgraph Extending and Subgraph Support Value

Jiawei Luo, Fengrong Zhu, Jiawei Luo, 2013 .

A New Subgraph Sampling and Matching Algorithm for Probability Motifs Detection in PPI Networks

Jiawei Luo, Jiawei Luo, Hanqi Zhou, 2013 .

An Efficient Network Motif Discovery Approach for Co-Regulatory Networks

Cheng Liang, Jiawei Luo, Nguyen Hoang Tu, 2018, IEEE Access.

A comprehensive vulnerability based alert management approach for large networks

Humphrey Waita Njogu, Jane Nduta Kiere, Damien Hanyurwimfura, 2013, Future Gener. Comput. Syst..

A Novel Approach to Identify the miRNA-mRNA Causal Regulatory Modules in Cancer

Wei Huang, Jiawei Luo, Buwen Cao, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding

N. H. Tu, Jiawei Luo, Xiangtao Chen, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Influence of angle alpha on visual quality after implantation of extended depth of focus intraocular lenses

Ying Wang, Jiawei Luo, Huaijin Guan, 2021, BMC Ophthalmology.

Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures

Jiawei Luo, C. Liang, Huaxiang Zhang, 2023, Inf. Sci..

Discovery of novel multi-functional peptides by using protein language models and graph-based deep learning

Bin Liu, Yang Zhang, Jiawei Luo, 2023, bioRxiv.

A New Integration-Centric Algorithm of Identifying Essential Proteins Based on Topology Structure of Protein-Protein Interaction Network and Complex Information

Ling Ma, Jiawei Luo, Jiawei Luo, 2013 .

Identifying miRNA-mRNA Regulatory Modules Based on Overlapping Neighborhood Expansion from Multiple Types of Genomic Data

Bin Liu, Shulin Wang, Jiawei Luo, 2016, ICIC.

Comparison of preoperative angle kappa measurements in the eyes of cataract patients obtained from Pentacam Scheimpflug system, optical low-coherence reflectometry, and ray-tracing aberrometry

M. Ji, Jiawei Luo, H. Guan, 2020, BMC Ophthalmology.

PREDICTION OF ESSENTIAL PROTEINS BASED ON EDGE CLUSTERING COEFFICIENT AND GENE ONTOLOGY INFORMATION

Nan Zhang, Jiawei Luo, N. Zhang, 2014 .

Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks

Hao Wu, Jiawei Luo, Pingjian Ding, 2020, J. Chem. Inf. Model..

DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning

Xiaolan Xie, Shaoliang Peng, Jiawei Luo, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Metapath-Based Deep Convolutional Neural Network for Predicting miRNA-Target Association on Heterogeneous Network

Jiawei Luo, Xiangtao Chen, Cong Shen, 2021, Interdisciplinary Sciences: Computational Life Sciences.

A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity

Cheng Liang, Jiawei Luo, Ying Liu, 2017, IEEE Access.

Torsion Graph Neural Networks

Kelin Xia, Jiawei Luo, Cong Shen, 2023, ArXiv.

A Novel Information Theory-Based Ensemble Feature Selection Framework for High-Dimensional Microarray Data

Cheng Liang, Jie Cai, Jiawei Luo, 2017 .

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs

Jiawei Luo, Shengpeng Yu, C. Liang, 2019, PLoS Comput. Biol..

Molecular geometric deep learning

Kelin Xia, Jiawei Luo, Cong Shen, 2023, Cell reports methods.

Data Integration Using Tensor Decomposition for the Prediction of miRNA-Disease Associations

Jiawei Luo, Pei Liu, Hao Wu, 2021, IEEE Journal of Biomedical and Health Informatics.

Data Augmentation for Sentiment Analysis Using Sentence Compression-Based SeqGAN With Data Screening

T. Ohtsuki, Jiawei Luo, Mondher Bouazizi, 2021, IEEE Access.

A visual representation for RNA secondary structure and its application

Renfa Li, Jiawei Luo, C. Liang, 2012 .

RNA secondary structure alignment based on an extended binary coding method

Renfa Li, Wen Zhu, Jiawei Luo, 2011 .

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Qiu Xiao, Jiawei Luo, C. Liang, 2019, Molecular therapy. Nucleic acids.

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data

Cheng Liang, Jiawei Luo, Qiu Xiao, 2017, IEEE Access.

A path-based measurement for human miRNA functional similarities using miRNA-disease associations

Jiawei Luo, Qiu Xiao, Pingjian Ding, 2016, Scientific Reports.

A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction

Wei Wang, Jiawei Luo, Cong Shen, 2020, ICIC.

A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging

Yue Li, Jiawei Luo, C. Liang, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Exploring the application of gene ontology semantic similarity measure for identifying protein complexes

Jiawei Luo, Qian Dang, Lingyao Yu, 2014, 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Identifying Protein Complexes by Combining Network Topology and Biological Characteristics

Cheng Liang, Jiawei Luo, Buwen Cao, 2016 .

PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation

Cheng Liang, Shulin Wang, Jiawei Luo, 2016, IEEE Transactions on NanoBioscience.

Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks

Shulin Wang, Jiawei Luo, Pingjian Ding, 2017, J. Intell. Fuzzy Syst..

Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation

Cheng Liang, Shulin Wang, Jiawei Luo, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A Novel Protein Complex Identification Algorithm Based on the Integration of Local Network Topology and Gene Ontology

Wang Xiaoping, Luo Jiawei, Jiawei Luo, 2014 .

A Core-Attachment Algorithm Based on Expected-Density and GO Terms to Detect Protein Complexes in Uncertain Protein-Protein Interaction Networks

Jiawei Luo, Weifeng Hu, Jiawei Luo, 2013 .

scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis

Jiawei Luo, Xiangtao Chen, Cong Shen, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).