„combinatorial algorithm“

Suchergebnisse

8.292 Treffer

• Application of amino acid occurrence for discriminating different folding types of globular proteins
  Taguchi, Y-h ; Gromiha, M Michael
• Analysis on multi-domain cooperation for predicting protein-protein interactions
  Wang, Rui-Sheng ; Wang, Yong ; Wu, Ling-Yun ; Zhang, Xiang-Sun ; Chen, Luonan
• MindSeer: a portable and extensible tool for visualization of structural and functional neuroimaging data
  Moore, Eider B. ; Poliakov, Andrew V. ; Lincoln, Peter ; Brinkley, James F.
• Gene selection for classification of microarray data based on the Bayes error
  Zhang, Ji-Gang ; Deng, Hong-Wen
• A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
  Choi, Hyungwon ; Shen, Ronglai ; Chinnaiyan, Arul M. ; Ghosh, Debashis
• An evolutionary method for learning HMM structure: prediction of protein secondary structure
  Won, Kyoung-Jae ; Hamelryck, Thomas ; Prügel-Bennett, Adam ; Krogh, Anders
• A replica exchange Monte Carlo algorithm for protein folding in the HP model
  Thachuk, Chris ; Shmygelska, Alena ; Hoos, Holger H.
• GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest
  Diaz-Uriarte, Ramón
• AUG_hairpin: prediction of a downstream secondary structure influencing the recognition of a translation start site
  Kochetov, Alex V. ; Palyanov, Andrey ; Titov, Igor I. ; Grigorovich, Dmitry ; Sarai, Akinori ; Kolchanov, Nikolay A.
• Convergent algorithms for protein structural alignment
  Martínez, Leandro ; Andreani, Roberto ; Martínez, José Mario
• Annotation and query of tissue microarray data using the NCI Thesaurus
  Shah, Nigam H. ; Rubin, Daniel L. ; Espinosa, Inigo ; Montgomery, Kelli ; Musen, Mark A.
• CLUSS: Clustering of protein sequences based on a new similarity measure
  Kelil, Abdellali ; Wang, Shengrui ; Brzezinski, Ryszard ; Fleury, Alain
• Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
  Liu, Xiangdong ; Jessen, Walter J. ; Sivaganesan, Siva ; Aronow, Bruce J. ; Medvedovic, Mario
• Identification of discriminative characteristics for clusters from biologic data with InforBIO software
  Tanaka, Naoto ; Uchino, Masataka ; Miyazaki, Satoru ; Sugawara, Hideaki
• Large-scale integration of cancer microarray data identifies a robust common cancer signature
  Xu, Lei ; Geman, Donald ; Winslow, Raimond L.
• 3'-UTR SIRF: A database for identifying clusters of short interspersed repeats in 3' untranslated regions
  Andken, Benjamin B. ; Lim, In ; Benson, Gary ; Vincent, John J. ; Ferenc, Matthew T. ; Heinrich, Bianca ; Jarzylo, Larissa A. ; Man, Heng-Ye ; Deshler, James O.
• Semantic integration to identify overlapping functional modules in protein interaction networks
  Cho, Young-Rae ; Hwang, Woochang ; Ramanathan, Murali ; Zhang, Aidong
• A novel ensemble learning method for de novo computational identification of DNA binding sites
  Chakravarty, Arijit ; Carlson, Jonathan M. ; Khetani, Radhika S. ; Gross, Robert H.
• A survey of orphan enzyme activities
  Pouliot, Yannick ; Karp, Peter D.
• Probabilistic prediction and ranking of human protein-protein interactions
  Scott, Michelle S. ; Barton, Geoffrey J.