Machine Learning in Bioinformatics

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  Gholam Ali Rezaei Rad, Hadi Jahanirad: A GA based Approach for Image Shadow Removal using PCNN. 1-6
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  Huzefa Rangwala: Multiple Kernel Learning for Fold Recognition. 7-12
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  Aiyesha Ma, Ishwar K. Sethi: Iterative Split Adjustment for Building Multilabel Decision Trees. 13-18

Text/Linguistic Applications

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  Enno Ohlebusch, Simon Gog: Space-efficient Genome Comparisons with Compressed Full-text Indexes. 19-24
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  Satoshi Mizuta, Keishin Hanya: Specifications of Word Set in Linguistic Approach for Similarity Estimation. 25-29
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  Dazhuo Li, Eric C. Rouchka, Patrick Shafto: Phylogenomic Analysis Using Bayesian Congruence Measuring. 30-37

Biological and PPI Networks

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  Guillaume Blin, Florian Sikora, Stéphane Vialette: GraMoFoNe: a Cytoscape Plugin for Querying Motifs without Topology in Protein-Protein Interactions Networks. 38-43
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  Zheng Zhao, Huan Liu, Jiangxin Wang, Yung Chang: Biological Relevance Detection via Network Dynamic Analysis. 44-49
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  Mary M. Randolph-Gips: Metabolic Pathways Modeling using VHDL-AMS. 50-54

Protein Applications

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  Jing Hu: Predicting Subcellular Localizations of Gram-negative Proteins with Improved Performance. 55-60
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  Fan Zhang, Jianjun Hu: Bioinformatics Analysis of Physichemical Properties of Protein Sorting Signals. 61-66
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  Yaohang Li, Douglas Wardell: Study of Computing Consolidation Techniques in Computational Protein Loop Structure Modeling. 67-72

Bioinformatics and Disease Related Tasks

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  Fathalla A. Rihan: Delay Differential Models in Dynamic Diseases. 73-79
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  Hisham Al-Mubaid: Disease Classification using Gene Similarity and GO Annotations. 80-85
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  Alan J. Barton, Arsalan S. Haqqani, Julio J. Valdés: Identification of Similarities among MS/MS Spectra from Human Brain. 86-91
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  Hui Yang, Abhishek Sharma, Rajesh Swaminathan, Vilas Ketkar: On Building a Quantitative Food-Disease-Gene Network. 92-97

DNA Applications

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  Sergei R. Sverchkov: Algebraic Theory of DNA Recombination. 98-102
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  Bindu Simon, Champa Sengupta-Gopalan, Pavan K. Yelavarthi, Desh Ranjan: Computational and Biological Approach to Understand the 3' UTR-Mediated Posttranscriptional Regulation of Alfalfa Cytosolic Glutamine Synthetase Genes. 103-108
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  Sina Vivekanandan, Avinash Panigrahi, Sunil Kumar, Randeep Singh: DNADigest: In silico Tool for Customized Digestion of Nucleic Acid Sequences. 109-114

Algorithmic Techniques with Bioinformatics Applications

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  Nahla El Zant El Kadhi: A New Relational KMR Based Algorithm for Microsatellite Identification. 115-120
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  Tarek El Falah, Thierry Lecroq, Mourad Elloumi: SMS-Forbid: An Efficient Agorithm for Simple Motif Problem. 121-126
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  Max Homilius, John Gordon Burleigh, Oliver Eulenstein: Triplet-Supertrees constructed from Minimum Triplet Presentations. 127-132

Gene and Protein Applications

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  André Wehe, John Gordon Burleigh: Scaling the Gene Duplication Problem Towards the Tree of Life. 133-138
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  Alan J. Barton, Arsalan S. Haqqani: Nonlinear Retention Time Shifts in nanoLC-MS Data: A Fuzzy-Evolutionary Computational Proteomics Approach. 139-144
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  Hui Yang, Saurabh Gupte, Runtang Wang, Rahul Parte: Folding-aware and Structure-conscious 3D Substructures in Folding Data: Identification and Applications. 145-150

RNA Sequences and Clustering

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  Jane Synnergren, Alper Øzdogan, Björn Olsson, Peter Sartipy: Clustering Micro-RNA Array Data Using an Information Fusion-Based Approach with Multiple Types of Input Data. 151-158
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  Boya Xie, Robert Hochberg, Qin Ding, Di Wu: miRSAT & miRCDB: An Integrated MicroRNA Sequesce Analysis Tool and a Cancer-Associated MicroRNA Database. 159-164
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  Abel Licon, Michela Taufer, Ming-Ying Leung, Kyle L. Johnson: A Dynamic Programming Algorithm for Finding the Optimal Segmentation of an RNA Sequence in Secondary Structure Predictions. 165-170

Data Mining and Machine Learning in Bioinformatics

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  Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui Kuang, Vipin Kumar: Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining. 171-177
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  Kazunori Miyanishi, Tomonobu Ozaki, Takenao Ohkawa: A Method to Identify Protein Names with Iterative Extension of Training Data Set. 178-183
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  Chen Lin, Pengyu Hong, Chris Bakal, Norbert Perrimon: Novel Morphological Phenotypes Discovery in High-Content Screens Using Underused Features. 184-189
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  Xiao Yang, Srinivas Aluru: An Improved Model for Gene Cluster Inference. 190-195

Trees and Grids with Bioinformatics Applications

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  Doreen A. Thomas, Jia F. Weng, Iven Mareels: Corrected Statistical Distance and Probability Constrained Optimization in Reconstruction of Phylogenetic Trees. 196-201
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  Mahen Jayawardena, Carl Nettelblad, Salman Zubair Toor, Per-Olov Östberg, Erik Elmroth, Sverker Holmgren: A Grid-Enabled Problem Solving Environment for QTL Analysis in R. 202-209
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  Ruixuan Zhao, Ning Zhang: A More Efficient Closest String Problem. 210-215

last updated on Wed May 22 04:20:37 2013 by the dblp team
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