„Computer algorithms.“

Suchergebnisse

10.000+ Treffer

• ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity
  Zhang, Shenghui ; Wang, Yaojun ; Bu, Dongbo ; Zhang, Hong ; Sun, Shiwei
• Parallelized short read assembly of large genomes using de Bruijn graphs
  Liu, Yongchao ; Schmidt, Bertil ; Maskell, Douglas L.
• MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures
  Tulpan, Dan ; Leger, Serge ; Belliveau, Luc ; Culf, Adrian ; Čuperlović-Culf, Miroslava
• U-Compare bio-event meta-service: compatible BioNLP event extraction services
  Kano, Yoshinobu ; Björne, Jari ; Ginter, Filip ; Salakoski, Tapio ; Buyko, Ekaterina ; Hahn, Udo ; Cohen, K Bretonnel ; Verspoor, Karin ; Roeder, Christophe ; Hunter, Lawrence E. ; Kilicoglu, Halil ; Bergler, Sabine ; Van Landeghem, Sofie ; Van Parys, Thomas ; Van de Peer, Yves ; Miwa, Makoto ; Ananiadou, Sophia ; Neves, Mariana ; Pascual-Montano, Alberto ; Özgür, Arzucan ; Radev, Dragomir R. ; Riedel, Sebastian ; Sætre, Rune ; Chun, Hong-Woo ; Kim, Jin-Dong ; Pyysalo, Sampo ; Ohta, Tomoko ; Tsujii, Jun'
• Predicting RNA-Protein Interactions Using Only Sequence Information
  Muppirala, Usha K. ; Honavar, Vasant G. ; Dobbs, Drena
• Stepwise classification of cancer samples using clinical and molecular data
  Obulkasim, Askar ; Meijer, Gerrit A. ; van de Wiel, Mark A.
• Impact of the spotted microarray preprocessing method on fold-change compression and variance stability
  Ambroise, Jérôme ; Bearzatto, Bertrand ; Robert, Annie ; Govaerts, Bernadette ; Macq, Benoît ; Gala, Jean-Luc
• Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations
  Van der Borght, Koen ; Van Craenenbroeck, Elke ; Lecocq, Pierre ; Van Houtte, Margriet ; Van Kerckhove, Barbara ; Bacheler, Lee ; Verbeke, Geert ; van Vlijmen, Herman
• A systems approach to identifying correlated gene targets for the loss of colour pigmentation in plants
  Clark, Sangaalofa T. ; Verwoerd, Wynand S.
• Clustering with position-specific constraints on variance: Applying redescending M-estimators to label-free LC-MS data analysis
  Frühwirth, Rudolf ; Mani, D R. ; Pyne, Saumyadipta
• Development of a classification scheme for disease-related enzyme information
  Söhngen, Carola ; Chang, Antje ; Schomburg, Dietmar
• Open-target sparse sensing of biological agents using DNA microarray
  Mohtashemi, Mojdeh ; Walburger, David K. ; Peterson, Matthew W. ; Sutton, Felicia N. ; Skaer, Haley B. ; Diggans, James C.
• Software comparison for evaluating genomic copy number variation for Affymetrix 6.0 SNP array platform
  Eckel-Passow, Jeanette E. ; Atkinson, Elizabeth J. ; Maharjan, Sooraj ; Kardia, Sharon LR ; de Andrade, Mariza
• Quantification of protein group coherence and pathway assignment using functional association
  Chitale, Meghana ; Palakodety, Shriphani ; Kihara, Daisuke
• Identification of exonic regions in DNA sequences using cross-correlation and noise suppression by discrete wavelet transform
  Abbasi, Omid ; Rostami, Ali ; Karimian, Ghader
• Detection of lineage-specific evolutionary changes among primate species
  Pertea, Mihaela ; Pertea, Geo M. ; Salzberg, Steven L.
• Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response
  Li, Qiyuan ; Eklund, Aron C. ; Birkbak, Nicolai J. ; Desmedt, Christine ; Haibe-Kains, Benjamin ; Sotiriou, Christos ; Symmans, W Fraser ; Pusztai, Lajos ; Brunak, Søren ; Richardson, Andrea L. ; Szallasi, Zoltan
• Ranking insertion, deletion and nonsense mutations based on their effect on genetic information
  Zia, Amin ; Moses, Alan M.
• Bayesian semi-supervised classification of bacterial samples using MLST databases
  Cheng, Lu ; Connor, Thomas R. ; Aanensen, David M. ; Spratt, Brian G. ; Corander, Jukka
• AlignHUSH: Alignment of HMMs using structure and hydrophobicity information
  Krishnadev, Oruganty ; Srinivasan, Narayanaswamy