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ORCIDInternational Journal of Knowledge Discovery in Bioinformatics, Volume 1
Volume 1, Number 1, 2010
- Oruganty Krishnadev, Shveta Bisht
, Narayanaswamy Srinivasan:
Prediction of Protein-Protein Interactions Between Human Host and Two Mycobacterial Organisms. 1-13 - Takeyuki Tamura, Kazuhiro Takemoto, Tatsuya Akutsu:
Finding Minimum Reaction Cuts of Metabolic Networks Under a Boolean Model Using Integer Programming and Feedback Vertex Sets. 14-31 - Lee Sael, Daisuke Kihara:
Characterization and Classification of Local Protein Surfaces Using Self-Organizing Map. 32-47 - Susan Fairley, John McClure, Neil Hanlon, Robert W. Irving, Martin W. McBride, Anna F. Dominiczak, Ela Hunt:
Mapping Affymetrix Microarray Probes to the Rat Genome via a Persistent Index. 48-65 - Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama:
A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference. 66-80 - Francesco Bruno, Luigi Palopoli, Simona E. Rombo:
New Trends in Graph Mining: Structural and Node-Colored Network Motifs. 81-99
Volume 1, Number 2, 2010
- Sven Ulrich, Pierre Baumann, Andreas Conca, Hans-Joachim Kuss, Viktoria Stieffenhofer, Christoph Hiemke:
SPCCTDM, a Catalogue for Analysis of Therapeutic Drug Monitoring Related Contents in the Drug Prescription Information. 1-11 - Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasimhan:
Clustering Genes Using Heterogeneous Data Sources. 12-28 - Xiaoxu Han:
Infer Species Phylogenies Using Self-Organizing Maps. 29-49 - Andrew Blanchard, Christopher Wolter, David S. McNabb, Eitan Gross:
Wave-SOM: A Novel Wavelet-Based Clustering Algorithm for Analysis of Gene Expression Patterns. 50-73
Volume 1, Number 3, 2010
- Peter E. Larsen, Frank Collart, Yang Dai:
Incorporating Network Topology Improves Prediction of Protein Interaction Networks from Transcriptomic Data. 1-19 - Young-Rae Cho, Aidong Zhang:
Mining Protein Interactome Networks to Measure Interaction Reliability and Select Hub Proteins. 20-35 - Ning Jin, Calvin Young, Wei Wang:
Discriminative Subgraph Mining for Protein Classification. 36-52 - Wangsen Feng, Lusheng Wang:
Identification of Distinguishing Motifs. 53-67 - Mohammed Javeed Zaki, Naren Ramakrishnan, Lizhuang Zhao:
Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling. 68-96 - Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga:
Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression. 97-112
Volume 1, Number 4, 2010
- Junming Shao, Klaus Hahn, Qinli Yang, Afra M. Wohlschläger, Christian Böhm, Nicholas Myers, Claudia Plant:
Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain. 1-25 - Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden:
Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems. 26-53 - Majid Masso:
Improving Prediction Accuracy via Subspace Modeling in a Statistical Geometry Based Computational Protein Mutagenesis. 54-68 - Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li:
Efficient Mining Frequent Closed Discriminative Biclusters by Sample-Growth: The FDCluster Approach. 69-88
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