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ISB 2012: Xian, China
- 6th IEEE International Conference on Systems Biology, ISB 2012, Xian, China, August 18-20, 2012. IEEE 2012, ISBN 978-1-4673-4396-1

- Limin Li, Hao Jiang, Wai-Ki Ching, Vassilios S. Vassiliadis:

Metabolite biomarker discovery for metabolic diseases by flux analysis. 1-5 - Li-Zhi Liu, Fang-Xiang Wu

, Wen-Jun Zhang
:
Alternating weighted least squares parameter estimation for biological S-systems. 6-11 - Liwei Qian, Haoran Zheng:

Improving prediction of drug therapy outcome via integration of time series gene expression and Protein Protein Interaction network. 12-16 - Peng Xu

, Xianghong Wang, Wenbin Liu:
The influence of the basin structure of Boolean networks on their long range correlated dynamics. 17-21 - Hao Zhang, Xin Li, Yuanning Liu, Zhi Li, Minggang Hu, Dong Xu:

Human encoded miRNAs that regulate the inflenenza virus genome. 22-25 - Jing Zhao, Chun-Lin Wang, Tinghong Yang, Bo Li, Xing Chen, Xiaona Shen, Ling Fang:

A comparison of three weighted human gene functional association networks. 26-31 - Shaoqiang Zhang

, Lifen Jiang, Chuanbin Du, Zhengchang Su:
A novel information contents based similarity metric for comparing TFBS motifs. 32-36 - Jiajia Chen, Daqing Zhang, Wenyu Zhang, Yifei Tang

, Lingchuan Guo, Bairong Shen:
An integrative framework for identifying consistent microRNA expression signatures associated with clear cell renal cell carcinoma. 37-42 - Xiujun Gong

, Hua Yu, Fei-Fei Zhao:
A novel pipeline for motif discovery, pruning and validation in promoter sequences of human tissue specific genes. 43-48 - Yangfan Hu, Jinquan Li, Jiajia Chen, Guang Hu

, Bairong Shen:
Identifying novel glioma associated pathways based on integrated 'omics' data. 49-55 - Zimo Yin, Junyan Tan:

New encoding schemes for prediction of protein phosphorylation sites. 56-62 - Changhong Shi, Tianshou Zhou:

Functional tunability of biological circuits from tinkers. 63-72 - Hongjuan Zhang, Zikai Wu, Shuxue Ding, Luonan Chen:

A fixed-point blind source extraction algorithm and its application to ECG data analysis. 73-78 - Hao Guo, Yunping Zhu, Dong Li, Fuchu He, Qijun Liu:

Using NMFAS to identify key biological pathways associated with human diseases. 79-85 - Xinrong Zhou, Katsuhisa Horimoto, Shigeru Saito, Luonan Chen, Huarong Zhou:

Network clustering along diabetes progression in three tissues of Goto-Kakizaki rats. 86-91 - Gongxian Xu

:
Multi-objective optimization of biological systems represented by S-system models. 92-96 - Yongmei Su, Yerong Wen, Lequan Min:

Analysis of a HBV infection model with ALT. 97-100 - Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing:

Network Kernel SVM for microarray classification and gene sets selection. 101-105 - Wei Fang, Xingzhi Chang, Xiaoquan Su, Jian Xu, Deli Zhang, Kang Ning

:
A machine learning framework of functional biomarker discovery for different microbial communities based on metagenomic data. 106-112 - Huayong Xu, Hui Yu, Kang Tu, Qianqian Shi, Chaochun Wei

, Yuanyuan Li, Yixue Li:
cGRNexp: a web platform for building combinatorial gene regulation networks based on user-uploaded gene expression datasets. 113-117 - Shuqin Zhang

:
Hierarchical modular structure in gene coexpression networks. 118-124 - Ya-Jing Huang, Wen-An Yong:

A stable simplification of a fas-signaling pathway model for apoptosis. 125-134 - Yi-Bin Wang, Yongmei Cheng, Shao-Wu Zhang, Wei Chen:

A seed-based approach to identify risk disease sub-networks in human lung cancer. 135-141 - Zhi-Ping Liu, Wanwei Zhang

, Katsuhisa Horimoto, Luonan Chen:
A Gaussian graphical model for identifying significantly responsive regulatory networks from time series gene expression data. 142-147 - Xinjian Zhuo:

Analysis of a HBV infection model with non-cytolytic cure process. 148-151 - Morihiro Hayashida, Mayumi Kamada, Jiangning Song

, Tatsuya Akutsu
:
Predicting protein-RNA residue-base contacts using two-dimensional conditional random field. 152-157 - Jing Yang, Xiaofang Ling, Lishan Yao, Hua-Liang Wei

, Visakan Kadirkamanathan
:
System identification of the fermentation system of Thermoanaerobacter sp. X514. 158-163 - Xi Liu, Peipei Zhou

, Ruiqi Wang:
Switch-like regulation of signal transduction by small RNA-mediated quorum sensing. 164-168 - Fei Shi, Peipei Zhou

, Ruiqi Wang:
Coupled positive feedback loops regulate the biological behavior. 169-173 - Xiwei Tang, Jianxin Wang, Yi Pan

:
Predicting protein complexes via the integration of multiple biological information. 174-179 - Yueying Yang, Di Liu, Jun Meng:

Module of cellular networks in saccharomyces cerevisiae. 180-184 - Li-Ping Tian, Zhong-Ke Shi, Fang-Xiang Wu

:
New global stability conditions for genetic regulatory networks with time-varying delays. 185-191 - Shuyun Jiao, Yanbo Wang, Ping Ao:

Dynamics of coexistence of asexual and sexual reproduction in adaptive landscape. 192-196 - Tao Zeng, Ruozhao Wang, Luonan Chen:

Module network rewiring in response to therapy. 197-202 - Yuan Yi, Jihong Guan, Shuigeng Zhou:

Effective clustering of microRNA sequences by N-grams and feature weighting. 203-210 - Fangshu Cui, Bo Yuan:

Analysis of morphological evolution in a long-term experiment with Escherichia coli. 211-215 - Ying Li, Hui Wu, Jinhuo Luo:

Comparing two models based on the transcriptional regulation by KaiC of cyanobacteria rhythm. 216-219 - Qiang Huang, Ling-Yun Wu, Xiang-Sun Zhang:

CNetA: Network alignment by combining biological and topological features. 220-225 - Xinguo Lu, Xianghua Peng, Ping Liu, Yong Deng, Bingtao Feng, Bo Liao:

A novel feature selection method based on CFS in cancer recognition. 226-231 - Gary Hak Fui Tam, Chunqi Chang

, Yeung Sam Hung:
Application of Granger causality to gene regulatory network discovery. 232-239 - Chien-Ming Chen, Tsan-Huang Shih, Tun-Wen Pai, Zhen-Long Liu, Margaret Dah-Tsyr Chang:

RNA-seq coverage effects on biological pathways and GO tag clouds. 240-245 - Murtada Khalafallah Elbashir

, Jianxin Wang, Fang-Xiang Wu
, Min Li:
Sparse kernel logistic regression for β-turns prediction. 246-251 - Jingde Bu, Jiayan Wu, Meili Chen, Jing-Fa Xiao, Jun Yu, Xuebin Chi, Zhong Jin:

BAsplice: Bi-direction alignment for detecting splice junctions. 252-255 - Xinghuo Ye, Juan Liu, Fang-Xiang Wu

:
Dynamic miRNA-TF-mRNA circuits in mouse lung development. 256-262 - Changhe Fu, Ling Jing, Su Deng, Guangxu Jin

:
Identification of oncogenic genes for colon adenocarcinoma from genomics data. 263-266 - Song Xu, Shuyun Jiao, Pengyao Jiang

, Bo Yuan, Ping Ao:
Escape from infinite adaptive peak. 267-272 - Bin Kang, Yuan-Yuan Li, Yixue Li:

Anti-clustering of circadian gene expression in mouse liver genome. 273-279 - Zikai Wu, Yong Wang, Luonan Chen:

A new method to identify repositioned drugs for prostate cancer. 280-284 - Zhiyuan Yang, Yan Zhang, Luonan Chen:

in silico identification of novel cancer-related genes by comparative genomics of naked mole rat and rat. 285-290 - Fu-Yan Hu, Xing-Ming Zhao, Nelson L. S. Tang

, Yan Zhang, Luonan Chen:
Comparative analysis of protein-coding genes and long non-coding RNAs of prostate cancer between Caucasian and Chinese populations. 291-296 - Hua Tan, Fuhai Li, Jaykrishna Singh, Xiaofeng Xia, Derek Cridebring, Jian Yang, Ming Zhan, Stephen T. C. Wong, Jiguang Bao, Jinwen Ma:

A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors. 297-303 - Junhua Zhang, Shi-Hua Zhang, Yong Wang, Junfei Zhao, Xiang-Sun Zhang:

Identifying mutated core modules in glioblastoma by integrative network analysis. 304-309 - Leszek A. Nowak

, Maciej J. Ogorzalek
, Marcin Piotr Pawlowski:
Pigmented network structure detection using semi-smart adaptive filters. 310-314 - Xinxin Wang, Zhana Duren, Chao Zhang

, Lin Chen, Yong Wang:
Clinical data analysis reveals three subytpes of gastric cancer. 315-320 - Fen Kong, Xu-Ying Nan, Ping-an He

, Qi Dai, Yu-Hua Yao:
A sequence-segmented method applied to the similarity analysis of proteins. 321-326 - Yang Liu, Jin Zhou, Zhi-Ping Liu, Luonan Chen, Michael K. Ng

:
Construction and analysis of genome-wide SNP networks. 327-332 - Yue Deng, Lin Gao:

ppiPre - an R package for predicting protein-protein interactions. 333-337

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