Table of Contents

• Metabolite biomarker discovery for metabolic diseases by flux analysisLimin Li, Hao Jiang, Wai-Ki Ching, Vassilios S. Vassiliadis. 1-5 [doi]
• Alternating weighted least squares parameter estimation for biological S-systemsLi-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang. 6-11 [doi]
• Improving prediction of drug therapy outcome via integration of time series gene expression and Protein Protein Interaction networkLiwei Qian, Haoran Zheng. 12-16 [doi]
• The influence of the basin structure of Boolean networks on their long range correlated dynamicsPeng Xu, Xianghong Wang, Wenbin Liu. 17-21 [doi]
• Human encoded miRNAs that regulate the inflenenza virus genomeHao Zhang, Xin Li, Yuanning Liu, Zhi Li, Minggang Hu, Dong Xu. 22-25 [doi]
• A comparison of three weighted human gene functional association networksJing Zhao, Chun-Lin Wang, Tinghong Yang, Bo Li, Xing Chen, Xiaona Shen, Ling Fang. 26-31 [doi]
• A novel information contents based similarity metric for comparing TFBS motifsShaoqiang Zhang, Lifen Jiang, Chuanbin Du, Zhengchang Su. 32-36 [doi]
• An integrative framework for identifying consistent microRNA expression signatures associated with clear cell renal cell carcinomaJiajia Chen, Daqing Zhang, Wenyu Zhang, Yifei Tang, Lingchuan Guo, Bairong Shen. 37-42 [doi]
• A novel pipeline for motif discovery, pruning and validation in promoter sequences of human tissue specific genesXiujun Gong, Hua Yu, Fei-Fei Zhao. 43-48 [doi]
• Identifying novel glioma associated pathways based on integrated 'omics' dataYangfan Hu, Jinquan Li, Jiajia Chen, Guang Hu, Bairong Shen. 49-55 [doi]
• New encoding schemes for prediction of protein phosphorylation sitesZimo Yin, Junyan Tan. 56-62 [doi]
• Functional tunability of biological circuits from tinkersChanghong Shi, Tianshou Zhou. 63-72 [doi]
• A fixed-point blind source extraction algorithm and its application to ECG data analysisHongjuan Zhang, Zikai Wu, Shuxue Ding, Luonan Chen. 73-78 [doi]
• Using NMFAS to identify key biological pathways associated with human diseasesHao Guo, Yunping Zhu, Dong Li, Fuchu He, Qijun Liu. 79-85 [doi]
• Network clustering along diabetes progression in three tissues of Goto-Kakizaki ratsXinrong Zhou, Katsuhisa Horimoto, Shigeru Saito, Luonan Chen, Huarong Zhou. 86-91 [doi]
• Multi-objective optimization of biological systems represented by S-system modelsGongxian Xu. 92-96 [doi]
• Analysis of a HBV infection model with ALTYongmei Su, Yerong Wen, Lequan Min. 97-100 [doi]
• Network Kernel SVM for microarray classification and gene sets selectionBing Yang, Junyan Tan, Naiyang Deng, Ling Jing. 101-105 [doi]
• A machine learning framework of functional biomarker discovery for different microbial communities based on metagenomic dataWei Fang, Xingzhi Chang, Xiaoquan Su, Jian Xu, Deli Zhang, Kang Ning. 106-112 [doi]
• cGRNexp: a web platform for building combinatorial gene regulation networks based on user-uploaded gene expression datasetsHuayong Xu, Hui Yu, Kang Tu, Qianqian Shi, Chaochun Wei, Yuanyuan Li, Yixue Li. 113-117 [doi]
• Hierarchical modular structure in gene coexpression networksShuqin Zhang. 118-124 [doi]
• A stable simplification of a fas-signaling pathway model for apoptosisYa-Jing Huang, Wen-An Yong. 125-134 [doi]
• A seed-based approach to identify risk disease sub-networks in human lung cancerYi-Bin Wang, Yongmei Cheng, Shao-Wu Zhang, Wei Chen. 135-141 [doi]
• A Gaussian graphical model for identifying significantly responsive regulatory networks from time series gene expression dataZhi-Ping Liu, Wanwei Zhang, Katsuhisa Horimoto, Luonan Chen. 142-147 [doi]
• Analysis of a HBV infection model with non-cytolytic cure processXinjian Zhuo. 148-151 [doi]
• Predicting protein-RNA residue-base contacts using two-dimensional conditional random fieldMorihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu. 152-157 [doi]
• System identification of the fermentation system of Thermoanaerobacter sp. X514Jing Yang 0006, Xiaofang Ling, Lishan Yao, Hua-Liang Wei, Visakan Kadirkamanathan. 158-163 [doi]
• Switch-like regulation of signal transduction by small RNA-mediated quorum sensingXi Liu, Peipei Zhou, Ruiqi Wang. 164-168 [doi]
• Coupled positive feedback loops regulate the biological behaviorFei Shi, Peipei Zhou, Ruiqi Wang. 169-173 [doi]
• Predicting protein complexes via the integration of multiple biological informationXiwei Tang, Jianxin Wang, Yi Pan. 174-179 [doi]
• Module of cellular networks in saccharomyces cerevisiaeYueying Yang, Di Liu, Jun Meng. 180-184 [doi]
• New global stability conditions for genetic regulatory networks with time-varying delaysLi-Ping Tian, Zhong-Ke Shi, Fang-Xiang Wu. 185-191 [doi]
• Dynamics of coexistence of asexual and sexual reproduction in adaptive landscapeShuyun Jiao, Yanbo Wang, Ping Ao. 192-196 [doi]
• Module network rewiring in response to therapyTao Zeng, Ruozhao Wang, Luonan Chen. 197-202 [doi]
• Effective clustering of microRNA sequences by N-grams and feature weightingYuan Yi, Jihong Guan, Shuigeng Zhou. 203-210 [doi]
• Analysis of morphological evolution in a long-term experiment with Escherichia coliFangshu Cui, Bo Yuan. 211-215 [doi]
• Comparing two models based on the transcriptional regulation by KaiC of cyanobacteria rhythmYing Li, Hui Wu, Jinhuo Luo. 216-219 [doi]
• CNetA: Network alignment by combining biological and topological featuresQiang Huang, Ling-Yun Wu, Xiang-Sun Zhang. 220-225 [doi]
• A novel feature selection method based on CFS in cancer recognitionXinguo Lu, Xianghua Peng, Ping Liu, Yong Deng, Bingtao Feng, Bo Liao. 226-231 [doi]
• Application of Granger causality to gene regulatory network discoveryGary Hak Fui Tam, Chunqi Chang, Yeung Sam Hung. 232-239 [doi]
• RNA-seq coverage effects on biological pathways and GO tag cloudsChien-Ming Chen, Tsan-Huang Shih, Tun-Wen Pai, Zhen-Long Liu, Margaret Dah-Tsyr Chang. 240-245 [doi]
• Sparse kernel logistic regression for β-turns predictionMurtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu, Min Li. 246-251 [doi]
• BAsplice: Bi-direction alignment for detecting splice junctionsJingde Bu, Jiayan Wu, Meili Chen, Jing-Fa Xiao, Jun Yu, Xuebin Chi, Zhong Jin. 252-255 [doi]
• Dynamic miRNA-TF-mRNA circuits in mouse lung developmentXinghuo Ye, Juan Liu, Fang-Xiang Wu. 256-262 [doi]
• Identification of oncogenic genes for colon adenocarcinoma from genomics dataChanghe Fu, Ling Jing, Su Deng, Guangxu Jin. 263-266 [doi]
• Escape from infinite adaptive peakSong Xu, Shuyun Jiao, Pengyao Jiang, Bo Yuan, Ping Ao. 267-272 [doi]
• Anti-clustering of circadian gene expression in mouse liver genomeBin Kang, Yuan-Yuan Li, Yixue Li. 273-279 [doi]
• A new method to identify repositioned drugs for prostate cancerZikai Wu, Yong Wang, Luonan Chen. 280-284 [doi]
• in silico identification of novel cancer-related genes by comparative genomics of naked mole rat and ratZhiyuan Yang, Yan Zhang, Luonan Chen. 285-290 [doi]
• Comparative analysis of protein-coding genes and long non-coding RNAs of prostate cancer between Caucasian and Chinese populationsFu-Yan Hu, Xing-Ming Zhao, Nelson L. S. Tang, Yan Zhang, Luonan Chen. 291-296 [doi]
• A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factorsHua Tan, Fuhai Li, Jaykrishna Singh, Xiaofeng Xia, Derek Cridebring, Jian Yang, Ming Zhan, Stephen T. C. Wong, Jiguang Bao, Jinwen Ma. 297-303 [doi]
• Identifying mutated core modules in glioblastoma by integrative network analysisJunhua Zhang, Shi-Hua Zhang, Yong Wang, Junfei Zhao, Xiang-Sun Zhang. 304-309 [doi]
• Pigmented network structure detection using semi-smart adaptive filtersLeszek A. Nowak, Maciej J. Ogorzalek, Marcin Piotr Pawlowski. 310-314 [doi]
• Clinical data analysis reveals three subytpes of gastric cancerXinxin Wang, Zhana Duren, Chao Zhang, Lin Chen, Yong Wang. 315-320 [doi]
• A sequence-segmented method applied to the similarity analysis of proteinsFen Kong, Xu-Ying Nan, Ping-an He, Qi Dai, Yu-Hua Yao. 321-326 [doi]
• Construction and analysis of genome-wide SNP networksYang Liu, Jin Zhou, Zhi-Ping Liu, Luonan Chen, Michael K. Ng. 327-332 [doi]
• ppiPre - an R package for predicting protein-protein interactionsYue Deng, Lin Gao. 333-337 [doi]