Showing results (1291-1300 of 1,491) with videos related to
Sort By:
Pageof 150
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
PhenoGO: assigning phenotypic context to gene ontology annotations with natural language processingYves Lussier, Tara Borlawsky, Daniel Rappaport, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Large-scale testing of bibliome informatics using Pfam protein familiesAna G Maguitman, Andreas Rechtsteiner, Karin Verspoor, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Predicting gene functions from text using a cross-species approachEmilia Stoica, Marti HearstPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
A machine learning approach to predicting peptide fragmentation spectraRandy J Arnold, Narmada Jayasankar, Divya Aggarwal, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
High-accuracy peak picking of proteomics data using wavelet techniquesEva Lange, Clemens Gröpl, Knut Reinert, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Fast de novo peptide sequencing and spectral alignment via tree decompositionChunmei Liu, Yinglei Song, Bo Yan, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Normalization regarding non-random missing values in high-throughput mass spectrometry dataPei Wang, Hua Tang, Heidi Zhang, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
A new approach for alignment of multiple proteinsXu Zhang, Tamer KahveciPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
A tool for selecting SNPs for association studies based on observed linkage disequilibrium patternsFrancisco M De La Vega, Hadar I Isaac, Charles R ScafePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Computational strategy for discovering druggable gene networks from genome-wide RNA expression profilesSeiya Imoto, Yoshinori Tamada, Hiromitsu Araki, et al.Pageof 150