2017 年：

1. Xue J, Xie F, Xu J, et al. A New Network-Based Strategy   for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis:[J].   International Journal of Genomics, 2017, 2017(1):3538568.

2. Yang Y, Xie F, Yan B, et al. A reliable multiclass   classification model for identifying the subtypes of parotid neoplasms   constructed with variable combination population analysis and partial least   squares regression based on Raman spectra[J]. Chemometrics & Intelligent   Laboratory Systems, 2017.

3. Xie F, He M, Li H, et al. Bipartite network analysis   reveals metabolic gene expression profiles that are highly associated with   the clinical outcomes of acute myeloid leukemia[J]. Computational Biology   & Chemistry, 2017, 67(C):150.

4. Liu Y, Liang Y, Kuang Q, et al. Post‐modified non‐negative   matrix factorization for deconvoluting the gene expression profiles of   specific cell types from heterogeneous clinical samples based on   RNA‐sequencing data[J]. Journal of Chemometrics, 2017.

5. Kuang Q, Li Y, Wu Y, et al. A kernel matrix dimension   reduction method for predicting drug-target interaction[J]. Chemometrics   & Intelligent Laboratory Systems, 2017, 162:104-110.

6. Li Y, Dong Y, Huang Z, et al. Computational identifying   and characterizing circular RNAs and their associated genes in hepatocellular   carcinoma.[J]. PLoS One, 2017, 12(3):e0174436.

7. Dong Y, Huang Z, Kuang Q, et al. Expression dynamics and   relations with nearby genes of rat transpoSsable elements across 11 organs, 4   developmental stages and both sexes[J]. BMC Genomics, 2017, 18(1):666.

8. Wu Y, Jing R, Dong Y, et al. Functional annotation of   sixty-five type-2 diabetes risk SNPs and its application in risk   prediction:[J]. Scientific Reports, 2017, 7.

9. Wang Y, Guo Y, Pu X, et al. A sequence-based   computational method for prediction of MoRFs[J]. RSC Advances, 2017,   7(31):18937-18945.

10. Wang Y, Lin Y, Guo Y, et al. Functional dissection of   human targets for KSHV-encoded miRNAs using network analysis:[J]. Scientific   Reports, 2017, 7(1):3159.

11. Li W, Li M, Pu X, et al. Distinguishing the disease   associated SNPs based on composition frequency analysis[J]. Interdiscip Sci :   Comput life Sci, 2017, 9:459–467.

12. Wang Y, Guo Y, Pu X, et al. Effective prediction of   bacterial type IV secreted effectors by combined features of both C-termini   and N-termini[J]. J Comput Mol Des, 2017, 31:1029–103.

2016 年：

1. Wen Z, Chen G, Zhu S, Zhu J, Li B, Song Y, Li S, Shi L,   Zheng Y, Li M. Expression profiling and functional annotation of   noncoding genes across 11 distinct organs in rat development. Scientific   Reports. 2016，638575.

2. Gao N, Liang T, Yuan Y, et al. Exploring the mechanism   of F282L mutation-caused constitutive activity of GPCR by a computational   study.[J]. Physical chemistry chemical physics : PCCP, 2016, 18(42):29412.

3. Lu T, Yuan Y, Jiao Y, et al. Simultaneous   spectrophotometric quantification of dinitrobenzene isomers in water samples   using multivariate calibration methods[J]. Chemometrics & Intelligent   Laboratory Systems, 2016, 154:72-79.

4. Jiao Y, Li M, Wang N, et al. A facile color-tuning   strategy for constructing a library of Ir(III) complexes with fine-tuned   phosphorescence from bluish green to red using a synergetic substituent   effect of –OCH3 and –CN at only the C-ring of C^N ligand[J]. Journal of   Materials Chemistry C, 2016, 4(19):4269-4277.

5. Liu Z, Guo Y, Pu X, et al. Dissecting the regulation   rules of cancer-related miRNAs based on network analysis[J]. Scientific   Reports, 2016, 6.

6. Jiang Y, Yuan Y, Zhang X, et al. Use of network model to   explore dynamic and allosteric properties of three GPCR homodimers[J]. RSC   Advances, 2016, 6(108).

7. Wang M, He X, Xiong Q, et al. A facile strategy applied   to simultaneous qualitative-detection on multiple components of mixture   samples: A joint study of infrared spectroscopy and multi-label algorithms on   PBX explosives[J]. RSC Advances, 2016, 6(6):4713-4722.

8. Yi J, Xiong Y, Cheng K, et al. A Combination of   Chemometrics and Quantum Mechanics Methods Applied to Analysis of Femtosecond   Transient Absorption Spectrum of Ortho-Nitroaniline[J]. Scientific Reports,   2016, 6:19364.

9. Zhang L, Li Y, Yuan Y, et al. Molecular mechanism of   carbon nanotube to activate Subtilisin Carlsberg in polar and non-polar   organic media:[J]. Sci Rep, 2016, 6:36838.

10. Zeng X, Zhang L, Xiao X, et al. Unfolding mechanism of   thrombin-binding aptamer revealed by molecular dynamics simulation and Markov   State Model[J]. Scientific Reports, 2016, 6:24065.

11. Wu Y, Kuang Q, Dong Y, et al. Predicting pathogenic   single nucleotide variants through a comprehensive analysis on multiple level   features[J]. Chemometrics & Intelligent Laboratory Systems, 2016,   156:224-230.

12. Xu J, Jing R, Liu Y, et al. A new strategy for   exploring the hierarchical structure of cancers by adaptively partitioning   functional modules from gene expression network:[J]. Scientific Reports,   2016, 6:28720.

2015 年：

1. Dai X, Jing R Y, Guo Y, et al. Predicting the   druggability of protein-protein interactions based on sequence and structure   features of active pockets.[J]. Current Pharmaceutical Design, 2015,   21(21):3051-61.

2. Dong Y, Kuang Q, Dai X, et al. Improving the Understanding   of Pathogenesis of Human Papillomavirus 16 via Mapping Protein-Protein   Interaction Network.[J]. BioMed Research International, 2015, 2015:   890381.

3. Fu Y, Guo Y, Wang Y, et al. Exploring the relationship   between hub proteins and drug targets based on GO and intrinsic disorder[J].   Computational Biology & Chemistry, 2015, 56(C):41-48.

4. Hu Y, Guo Y, Shi Y, et al. A consensus subunit-specific   model for annotation of substrate specificity for ABC transporters[J]. RSC   Advances, 2015, 5(52):42009-42019.

5. Huang L, Jing R, Yang Y, et al. Characteristic   wavenumbers of Raman spectra reveal the molecular mechanisms of oral   leukoplakia and can help to improve the performance of diagnostic models[J].   Analytical Methods, 2015, 7(2):590-597.

6. Jing R, Sun J, Wang Y, et al. Domain position prediction   based on sequence information by using fuzzy mean operator[J]. Proteins   Structure Function & Bioinformatics, 2015, 83(8):1462-1469.

7. Jing R, Li R, Pu X, et al. A Web-based Graphic User   Interface of PML for Machine Learning in Parallel Running. Chemical   informatics,2015,1:2-7.

8. Li R, Dong Y, Kuang Q, et al. Inductive matrix   completion for predicting adverse drug reactions (ADRs) integrating   drug–target interactions[J]. Chemometrics & Intelligent Laboratory   Systems, 2015, 144:71-79.

9. Liu Y, Jing R, Xu J, et al. Comparative analysis of   oncogenes identified by microarray and RNA-sequencing as biomarkers for   clinical prognosis[J]. Biomarkers in Medicine, 2015, 9(11):1067-78.

10. Lu T, Yuan Y, He X, et al. Simultaneous determination   of multiple components in explosives using ultraviolet spectrophotometry and   a partial least squares method[J]. RSC Advances, 2015, 5(17):13021-13027.

11. Luo J, Liu Z, Guo Y, et al. A structural dissection of   large protein-protein crystal packing contacts[J]. Scientific Reports, 2015,   5:14214.

12. Shi Y, Guo Y, Hu Y, et al. Position-specific prediction   of methylation sites from sequence conservation based on information   theory[J]. Scientific Reports, 2015, 5(6):12403.

13. Wang Y, Guo Y, Kuang Q, et al. A comparative study of   family-specific protein–ligand complex affinity prediction based on random   forest approach[J]. Journal of computer-aided molecular design, 2015,   29(4):349-60.

14. Kuang Q, Xu X, Li R, et al. An eigenvalue   transformation technique for predicting drug-target interaction[J].   Scientific Reports, 2015, 5:13867.

2014 年：

1. Luo J, Guo Y, Zhong Y, et al. A functional feature analysis   on diverse protein-protein interactions: application for the prediction of   binding affinity.[J]. Journal of computer-aided molecular design, 2014,   28(6):619-29.

2. Yang X, Guo Y, Luo J, et al. Effective identification of   Gram-negative bacterial type III secreted effectors using position-specific   residue conservation profiles[J]. PLOS One, 2013, 8(12):e84439.

3. Ma D, Guo Y, Luo J, et al. Prediction of protein–protein   binding affinity using diverse protein–protein interface features[J].   Chemometrics & Intelligent Laboratory Systems, 2014, 138:7-13.

4. Zhong Y, Guo Y, Luo J, et al. Effective identification   of kinase-specific phosphorylation sites based on domain–domain   interactions[J]. Chemometrics & Intelligent Laboratory Systems, 2014,   136(16):97-103.

5. Luo J, Guo Y, Fu Y, et al. Effective discrimination   between biologically relevant contacts and crystal packing contacts using new   determinants.[J]. Proteins-structure Function & Bioinformatics, 2014,   82(11):3090.

6. Jing R, Sun J, Wang Y, et al. PML: A parallel machine   learning toolbox for data classification and regression[J]. Chemometrics   & Intelligent Laboratory Systems, 2014, 138:1-6.

7. Wang Y, Jing R, Hua Y, et al. Classification of   multi-family enzymes by multi-label machine learning and sequence-based   descriptors[J]. Analytical Methods, 2014, 6(17):6832-6840.

8. He L, Wang Y, Yang Y, et al. Identifying the Gene   Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model   Performance on Predicting the Cancer Prognosis[J]. Biomed Research   International, 2014, 2014(4):424509.

9. Jiang L, Huang L, Kuang Q, et al. Improving the   prediction of chemotherapeutic sensitivity of tumors in breast cancer via   optimizing the selection of candidate genes.[J]. Computational Biology &   Chemistry, 2014, 49(1):71-78.

10. Wu D, Yang G, Zhang L, et al. Genome-wide association   study combined with biological context can reveal more disease-related SNPs   altering microRNA target seed sites[J]. BMC Genomics, 2014, 15(1):669.

11. Li Chen, Yongzhi Zhang, Chaohong Lin, Wen Yang, Yan   Meng, Yong Guo, Menglong Li,* Dan Xiao,* Hierarchically porous nitrogen-rich   carbon derived from wheat straw as an ultrahigh-rate anode for lithium ion   battery, Journal of Materials Chemistry A 2 (2014) 9684-9690

12. Hu J, Luo Q, Zhang Z, et al. Self-assembled nanopillar   arrays by simple spin coating from blending systems comprising PC61BM and   conjugated polymers with special structure[J]. RSC Advances, 2014,   4(46):24316-24319.

13. Wu Y, Jing R, Jiang L, et al. Combination use of   protein-protein interaction network topological features improves the   predictive scores of deleterious non-synonymous single-nucleotide   polymorphisms.[J]. Amino Acids, 2014, 46(8):2025-2035.

14. Zhu Y, Yuan Y, Xiao X, et al. Understanding the effects   on constitutive activation and drug binding of a D130N mutation in the β2   adrenergic receptor via molecular dynamics simulation[J]. Journal of   Molecular Modeling, 2014, 20(11):1-12.

15. Kuang Q, Wang M, Li R, et al. A systematic   investigation of computation models for predicting Adverse Drug Reactions   (ADRs).[J]. PLOS One, 2014, 9(9):e105889-e105889.

2013 年：

1. Liu W, Guo Y, Luo J, et al. Prediction of   kinase-specific phosphorylational interactions using random forest[J].   Chemometrics & Intelligent Laboratory Systems, 2013, 126(22):117-122.

2. Yu L, Luo J, Guo Y, et al. In silico identification of   Gram-negative bacterial secreted proteins from primary sequence.[J].   Computers in Biology & Medicine, 2013, 43(9):1177-1181.

3. Zhang L, Zhang J, Gang Y, et al. Investigating the   concordance of Gene Ontology terms reveals the intra- and inter-platform   reproducibility of enrichment analysis[J]. BMC Bioinformatics, 2013,   14(1):143.

4. Zhang J, Zhang L, Yang G, et al. Nonnegative matrix   factorization for the improvement in sensitivity of discovering potentially   disease-related genes[J]. Chemometrics & Intelligent Laboratory Systems,   2013, 126(126):100-107.

5. Sun J, Jing R, Wu D, et al. The effect of edge   definition of complex networks on protein structure identification[J]. Comput   Math Methods Med, 2013, 2013(1):365410.

6. Sun J, Jing R, Wang Y, et al. PPM-Dom: a novel method   for domain position prediction.[J]. Computational Biology & Chemistry,   2013, 47(6):8-15.

7. Jiao Lin, Qifan Kuang, Yizhou Li, et al. Prediction of   adverse drug reactions by a network based external link prediction method[J].   Analytical Methods, 2013, 5(21):6120-6127.