Liangjiang Wang

30 papers C 1Journal 17Unranked 12

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Deep sequence representation learning for predicting human proteins with liquid-liquid phase separation propensity and synaptic functions. BCB Anqi Wei, Liangjiang Wang
2021	J	`jnl`	Deep Learning of Sequence Patterns for CCCTC-Binding Factor-Mediated Chromatin Loop Formation. J. Comput. Biol. Shuzhen Kuang, Liangjiang Wang
2021	J	`jnl`	Expression-based prediction of human essential genes and candidate lncRNAs in cancer cells. Bioinform. Shuzhen Kuang, Yanzhang Wei, Liangjiang Wang
2020	J	`jnl`	Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features. BMC Bioinform. Jun Wang, Liangjiang Wang
2019	—	`conf`	Deep Learning of CTCF-Mediated Chromatin Loops in 3D Genome Organization. ICCABS Shuzhen Kuang, Liangjiang Wang
2019	J	`jnl`	Deep learning of the back-splicing code for circular RNA formation. Bioinform. Jun Wang, Liangjiang Wang
2018	J	`jnl`	Co-expression of long non-coding RNAs and autism risk genes in the developing human brain. BMC Syst. Biol. Steven B. Cogill, Anand K. Srivastava, Mary Qu Yang, Liangjiang Wang
2017	—	`conf`	A Genetic Algorithm for Finding Discriminative Functional Motifs in Long Non-coding RNAs. ISBRA Brian L. Gudenas, Liangjiang Wang
2017	J	`jnl`	A Highly Sensitive Intensity-Modulated Optical Fiber Magnetic Field Sensor Based on the Magnetic Fluid and Multimode Interference. J. Sensors Yi Huang, Tingyun Wang, Chuanlu Deng, Xiaobei Zhang, Fufei Pang, Xuekun Bai, Weilong Dong, Liangjiang Wang, Zhenyi Chen
2017	—	`conf`	Prediction of back-splicing sites reveals sequence compositional features of human circular RNAs. ICCABS Jun Wang, Liangjiang Wang
2016	J	`jnl`	Support vector machine model of developmental brain gene expression data for prioritization of Autism risk gene candidates. Bioinform. Steven B. Cogill, Liangjiang Wang
2014	J	`jnl`	Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms. BMC Bioinform. Jack Y. Yang, A. Keith Dunker, Jun S. Liu, Xiang Qin, Hamid R. Arabnia, William Yang, Andrzej Niemierko, Zhongxue Chen, Zuojie Luo, Liangjiang Wang, Yunlong Liu, Dong Xu, Youping Deng, Weida Tong, Mary Qu Yang
2014	J	`jnl`	Identification of genes and pathways involved in kidney renal clear cell carcinoma. BMC Bioinform. William Yang, Kenji Yoshigoe, Xiang Qin, Jun S. Liu, Jack Y. Yang, Andrzej Niemierko, Youping Deng, Yunlong Liu, A. Keith Dunker, Zhongxue Chen, Liangjiang Wang, Dong Xu, Hamid R. Arabnia, Weida Tong, Mary Qu Yang
2010	J	`jnl`	BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features. BMC Syst. Biol. Liangjiang Wang, Caiyan Huang, Mary Qu Yang, Jack Y. Yang
2010	—	`conf`	Computational Identification of Human Tissue-Specific Genes Using Public Microarray Expression Data. BIOCOMP Liangjiang Wang
2010	—	`conf`	Random forest-based prediction of protein sumoylation sites from sequence features. BCB Shaolei Teng, Hong Luo, Liangjiang Wang
2010	J	`jnl`	Structural assessment of the effects of Amino Acid Substitutions on protein stability and protein-protein interaction. Int. J. Comput. Biol. Drug Des. Shaolei Teng, Anand K. Srivastava, Charles E. Schwartz, Emil Alexov, Liangjiang Wang
2009	—	`conf`	Biological Features for Sequence-Based Prediction of Protein Stability Changes upon Amino Acid Substitutions. IJCBS Shaolei Teng, Anand K. Srivastava, Liangjiang Wang
2009	—	`conf`	New Descriptors of Evolutionary Information for Accurate Prediction of DNA and RNA-Binding Residues in Protein Sequences. IJCBS Liangjiang Wang, Caiyan Huang
2008	—	`conf`	BindN+ for Improved Prediction of DNA or RNA Binding Residues in Protein Sequences Using Evolutionary Information. BIOCOMP Liangjiang Wang
2008	J	`jnl`	Prediction of lipid-interacting amino acid residues from sequence features. Int. J. Comput. Biol. Drug Des. Liangjiang Wang, Stephanie Jimenez Irausquin, Jack Y. Yang
2008	—	`conf`	Random Forests for Prediction of DNA-Binding Residues in Protein Sequences Using Evolutionary Information. FGCN (3: BSBT) Liangjiang Wang
2007	C	`conf`	A Machine Learning Approach for Prediction of Lipid-Interacting Residues in Amino Acid Sequences. BIBE Stephanie Jimenez Irausquin, Liangjiang Wang
2007	—	`conf`	A Semi-Supervised Learning Approach for Prediction of DNA-Binding Residues in Protein Sequences. BIOCOMP Liangjiang Wang
2007	J	`jnl`	BeetleBase: the model organism database for Nucleic Acids Res. Liangjiang Wang, Suzhi Wang, Yonghua Li, Martin S. R. Paradesi, Susan J. Brown
2006	J	`jnl`	BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences. Nucleic Acids Res. Liangjiang Wang, Susan J. Brown
2006	J	`jnl`	Prediction of Dna-binding Residues from Sequence Features. J. Bioinform. Comput. Biol. Liangjiang Wang, Susan J. Brown
2006	—	`conf`	Prediction of RNA-Binding Residues in Protein Sequences Using Support Vector Machines. EMBC Liangjiang Wang, Susan J. Brown
2005	J	`jnl`	BioStar models of clinical and genomic data for biomedical data warehouse design. Int. J. Bioinform. Res. Appl. Liangjiang Wang, Aidong Zhang, Murali Ramanathan
2003	J	`jnl`	Metabolomics spectral formatting, alignment and conversion tools (MSFACTs). Bioinform. Anthony L. Duran, Jian Yang, Liangjiang Wang, Lloyd W. Sumner