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ORCIDInternational Journal of Computational Biology and Drug Design, Volume 4
Volume 4, Number 1, 2011
- Tao Huang, Lei Liu, Qi Liu, Guohui Ding, Yejun Tan, Zhidong Tu, Yixue Li, Hongyue Dai, Lu Xie
:
The role of Hepatitis C Virus in the dynamic protein interaction networks of hepatocellular cirrhosis and carcinoma. 5-18 - Nancy Lan Guo, Ying-Wooi Wan, Swetha Bose, James Denvir, Michael L. Kashon, Michael E. Andrew:
A novel network model identified a 13-gene lung cancer prognostic signature. 19-39 - An Zhou, Roger Simon, Larry David:
Nascent proteomes of ischemic-injured and ischemic-tolerant neuronal cells. 40-55 - Ronald C. Taylor, Antonio Sanfilippo, Jason E. McDermott, Bob Baddeley, Roderick M. Riensche, Russ Jensen, Marc Verhagen, James Pustejovsky:
Enriching regulatory networks by bootstrap learning using optimised GO-based gene similarity and gene links mined from PubMed abstracts. 56-82 - Zhongming Zhao, Junfeng Xia, Öznur Tastan, Irtisha Singh, Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman:
Virus interactions with human signal transduction pathways. 83-105
Volume 4, Number 2, 2011
- Xue Gong, Jingchun Sun, Zhongming Zhao:
Gene regulation in glioblastoma: a combinatorial analysis of microRNAs and transcription factors. 111-126 - Binhua Tang, Sushing Chen, Victor X. Jin:
Integrative identification of core genetic regulatory modules via a structural model-based clustering method. 127-146 - Shengjun Hong, Hua Dong, Li Jin, Momiao Xiong:
Gene co-expression network and functional module analysis of ovarian cancer. 147-164 - Che-Lun Hung, Chun-Yuan Lin, Shih-Cheng Chang, Yeh-Ching Chung, Shu Ju Hsieh, Chuan Yi Tang, Yaw-Ling Lin:
Multiple genome sequences alignment algorithm based on coding regions. 165-178 - Doris Z. Wang, Hong Yan:
Integration of clustering and biclustering procedures for analysis of large DNA microarray datasets. 179-193 - William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor Wai-Hung Tsang, Yew-Soon Ong, Frédéric Bard, Victor Racine:
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study. 194-215
Volume 4, Number 3, 2011
- Alessia Visconti, Roberto Esposito, Francesca Cordero:
Restructuring the Gene Ontology to emphasise regulative pathways and to improve gene similarity queries. 220-238 - Flora S. Tsai:
Text mining and visualisation of Protein-Protein Interactions. 239-244 - Sayyed Rasoul Mousavi:
A hybrid metaheuristic for Closest String Problem. 245-261 - P. S. Hiremath, Parashuram Bannigidad:
Identification and classification of cocci bacterial cells in digital microscopic images. 262-273 - Yen-Fu Chen, Kai-Cheng Hsu, Po-Tsun Lin, D. Frank Hsu, Bruce S. Kristal, Jinn-Moon Yang:
LigSeeSVM: Ligand-based virtual Screening using Support Vector Machines and data fusion. 274-289 - Bingjing Cai, Haiying Wang, Huiru Zheng, Hui Wang:
Detection of functional modules from protein interaction networks with an enhanced random walk based algorithm. 290-306
Volume 4, Number 4, 2011
- Ravi Mathur, J. David Schaffer, Walker H. Land Jr., John J. Heine, Jonathan M. Hernandez, Timothy Yeatman:
Perturbation and candidate analysis to combat overfitting of gene expression microarray data. 307-315 - Jiaxin Wu, Mingxin Gan, Rui Jiang:
Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machines. 316-331 - Divya Sahu, Ashutosh Kumar, Dev Mani Pandey:
In silico analysis of enzyme involved in enrichment of citronella oil. 332-344 - Degang Zhang, Lei Guo, Xintao Hu, Kaiming Li, Dajiang Zhu, Xi Jiang, Hanbo Chen, Fan Deng, Qun Zhao, Tianming Liu:
Identification of cortical landmarks based on structural connectivity to subcortical regions. 345-360 - Hien Nguyen, Mingzhou Song:
Integrated cellular and gene interaction modelling of pattern formation. 361-372 - Prasoon Kumar Thakur, Md. Imtaiyaz Hassan:
Discovering a potent small molecule inhibitor for gankyrin using de novo drug design approach. 373-386 - Jacqueline J. Harris, Christine W. Duarte, Michael C. Mossing:
Using protein abundance to indicate underlying mRNA expression levels in E.coli: an SEM modelling approach. 387-395
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