Abstract is missing.
- Sequence-Based Prediction of Protein Secretion Success in ::::Aspergillus niger::::Bastiaan A. van den Berg, Jurgen F. Nijkamp, Marcel J. T. Reinders, Liang Wu, Herman J. Pel, Johannes A. Roubos, Dick de Ridder. 3-14 [doi]
- Machine Learning Study of DNA Binding by Transcription Factors from the LacI FamilyGennady G. Fedonin, Mikhail S. Gelfand. 15-26 [doi]
- Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene SearchJennifer Smith. 27-37 [doi]
- Structured Output Prediction of Anti-cancer Drug ActivityHongYu Su, Markus Heinonen, Juho Rousu. 38-49 [doi]
- SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence ContextNorman E. Davey, Niall J. Haslam, Denis C. Shields, Richard J. Edwards. 50-61 [doi]
- Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair SequenceWitold Dyrka, Jean-Christophe Nebel, Malgorzata Kotulska. 62-73 [doi]
- Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human PopulationsGökhan Yavas, Mehmet Koyutürk, Thomas LaFramboise. 74-85 [doi]
- Preservation of Statistically Significant Patterns in Multiresolution 0-1 DataPrem Raj Adhikari, Jaakko Hollmén. 86-97 [doi]
- Novel Machine Learning Methods for MHC Class I Binding PredictionChristian Widmer, Nora C. Toussaint, Yasemin Altun, Oliver Kohlbacher, Gunnar Rätsch. 98-109 [doi]
- SIMCOMP: A Hybrid Soft Clustering of Metagenome ReadsShruthi Prabhakara, Raj Acharya. 113-124 [doi]
- The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive StringsElijah Myers, Paul S. Fisher, Keith Irwin, Jinsuk Baek, João C. Setubal. 125-136 [doi]
- An Algorithm to Find All Identical Motifs in Multiple Biological SequencesAshish Kishor Bindal, R. Sabarinathan, J. Sridhar, D. Sherlin, Krishna Sekar. 137-148 [doi]
- Discovery of Non-induced Patterns from SequencesAndrew K. C. Wong, Dennis Zhuang, Gary C. L. Li, En-Shiun Annie Lee. 149-160 [doi]
- Exploring Homology Using the Concept of Three-State Entropy VectorArmando J. Pinho, Sara P. Garcia, Paulo Jorge S. G. Ferreira, Vera Afreixo, Carlos A. C. Bastos, António J. R. Neves, João M. O. S. Rodrigues. 161-170 [doi]
- A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment ProblemValentina Sulimova, Nikolay Razin, Vadim Mottl, Ilya B. Muchnik, Casimir A. Kulikowski. 171-182 [doi]
- Polynomial Supertree Methods RevisitedMalte Brinkmeyer, Thasso Griebel, Sebastian Böcker. 183-194 [doi]
- Enhancing Graph Database Indexing by Suffix Tree StructureVincenzo Bonnici, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti, Dennis Shasha. 195-203 [doi]
- Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical DataGeorge Lee, Anant Madabhushi. 207-218 [doi]
- Iterated Local Search for Biclustering of Microarray DataWassim Ayadi, Mourad Elloumi, Jin-Kao Hao. 219-229 [doi]
- Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression MicroarrayAlessandro Perina, Pietro Lovato, Vittorio Murino, Manuele Bicego. 230-241 [doi]
- Measuring the Quality of Shifting and Scaling Patterns in BiclustersBeatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz. 242-252 [doi]
- Frequent Episode Mining to Support Pattern Analysis in Developmental BiologyRonnie Bathoorn, Monique C. M. Welten, Michael Richardson, Arno Siebes, Fons J. Verbeek. 253-263 [doi]
- Time Series Gene Expression Data Classification via ::::L::::::1::-norm Temporal SVMCarlotta Orsenigo, Carlo Vercellis. 264-274 [doi]
- Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level ThresholdingIman Rezaeian, Luis Rueda. 277-288 [doi]
- Quantification of Cytoskeletal Protein Localization from High-Content ImagesShiwen Zhu, Paul Matsudaira, Roy Welsch, Jagath C. Rajapakse. 289-300 [doi]
- Pattern Recognition for High Throughput Zebrafish Imaging Using Genetic Algorithm OptimizationAlexander E. Nezhinsky, Fons J. Verbeek. 301-312 [doi]
- Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image AnalysisScott Doyle, Anant Madabhushi. 313-324 [doi]
- Semi-supervised Learning of Sparse Linear Models in Mass Spectral ImagingFabian Ojeda, Marco Signoretto, Raf Van de Plas, Etienne Waelkens, Bart De Moor, Johan A. K. Suykens. 325-334 [doi]
- A Matrix Algorithm for RNA Secondary Structure PredictionS. P. T. Krishnan, Mushfique Junayed Khurshid, Bharadwaj Veeravalli. 337-348 [doi]
- Exploiting Long-Range Dependencies in Protein ::::beta::::-Sheet Secondary Structure PredictionYizhao Ni, Mahesan Niranjan. 349-357 [doi]
- Alpha Helix Prediction Based on Evolutionary ComputationAlfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio Cortés. 358-367 [doi]
- An On/Off Lattice Approach to Protein Structure Prediction from Contact MapsStefano Teso, Cristina Di Risio, Andrea Passerini, Roberto Battiti. 368-379 [doi]
- Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality ReductionLuis Rueda, Carolina Garate, Sridip Banerjee, Md. Mominul Aziz. 383-394 [doi]
- Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction InformationKristine A. Pattin, Jiang Gui, Jason H. Moore. 395-406 [doi]
- SFFS-MR: A Floating Search Strategy for GRNs InferenceFabrício Martins Lopes, David Correa Martins Jr., Junior Barrera, Roberto M. Cesar. 407-418 [doi]
- Revisiting the Voronoi Description of Protein-Protein Interfaces: AlgorithmsFrédéric Cazals. 419-430 [doi]
- MC:::4:::: A Tempering Algorithm for Large-Sample Network InferenceDaniel James Barker, Steven M. Hill, Sach Mukherjee. 431-442 [doi]
- Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological NetworksNicolas Brunel, Florence d Alché-Buc. 443-454 [doi]