about
Inferring clonal composition from multiple sections of a breast cancerA quick guide to organizing computational biology projectsEpigenetic priors for identifying active transcription factor binding sitesThe Forkhead transcription factor Hcm1 regulates chromosome segregation genes and fills the S-phase gap in the transcriptional circuitry of the cell cycleImproved False Discovery Rate Estimation Procedure for Shotgun ProteomicsQuantifying similarity between motifsLarge-scale identification of yeast integral membrane protein interactionsAssessing computational tools for the discovery of transcription factor binding sitesTransmembrane topology and signal peptide prediction using dynamic bayesian networksA unified multitask architecture for predicting local protein propertiesDetecting remote evolutionary relationships among proteins by large-scale semantic embeddingRanking predicted protein structures with support vector regression.Modeling peptide fragmentation with dynamic Bayesian networks for peptide identificationEstimating relative abundances of proteins from shotgun proteomics data.Exploring gene expression data with class scores.Learning gene functional classifications from multiple data types.Matrix2png: a utility for visualizing matrix data.A statistical framework for genomic data fusion.Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure.Predicting co-complexed protein pairs from heterogeneous data.Software tools for visualizing Hi-C data.Kernel hierarchical gene clustering from microarray expression data.Protein ranking by semi-supervised network propagationChoosing negative examples for the prediction of protein-protein interactions.Analysis of peptide MS/MS spectra from large-scale proteomics experiments using spectrum libraries.Learning a weighted sequence model of the nucleosome core and linker yields more accurate predictions in Saccharomyces cerevisiae and Homo sapiens.Predicting human nucleosome occupancy from primary sequence.Improvements to the percolator algorithm for Peptide identification from shotgun proteomics data sets.The Genomedata format for storing large-scale functional genomics data.Three-dimensional modeling of the P. falciparum genome during the erythrocytic cycle reveals a strong connection between genome architecture and gene expressionEfficient marginalization to compute protein posterior probabilities from shotgun mass spectrometry dataHigh resolution models of transcription factor-DNA affinities improve in vitro and in vivo binding predictions.Protein ranking: from local to global structure in the protein similarity networkExploratory analysis of genomic segmentations with Segtools.Computational and statistical analysis of protein mass spectrometry data.Computing exact p-values for a cross-correlation shotgun proteomics score function.Faster mass spectrometry-based protein inference: junction trees are more efficient than sampling and marginalization by enumeration.A cross-validation scheme for machine learning algorithms in shotgun proteomics.Integrative annotation of chromatin elements from ENCODE data.FIMO: scanning for occurrences of a given motif
P50
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P50
description
Professor of Genome Sciences, University of Washington
@en
wetenschapper
@nl
name
William Noble
@fr
William S. Noble
@en
William S. Noble
@es
William S. Noble
@nl
William S. Noble
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type
label
William Noble
@fr
William S. Noble
@en
William S. Noble
@es
William S. Noble
@nl
William S. Noble
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altLabel
William Noble
@en
William Stafford Noble
@en
prefLabel
William Noble
@fr
William S. Noble
@en
William S. Noble
@es
William S. Noble
@nl
William S. Noble
@sl
P106
P1556
stafford-noble.william
P1960
plt2_DsAAAAJ
P21
P2456
P2798
P31
P496
0000-0001-7283-4715
P569
2000-01-01T00:00:00Z