about
A generative, probabilistic model of local protein structureEstimating optimal window size for analysis of low-coverage next-generation sequence data.Protein bioinformatics and mixtures of bivariate von Mises distributions for angular data.Evidence of fibre hyperplasia in human skeletal muscles from healthy young men? A left-right comparison of the fibre number in whole anterior tibialis muscles.Does Preoperative Beta-blocker Use Influence Intraoperative Hemodynamic Profile and Post-operative Course of Liver Transplantation?"Smoothed histograms": a visual aid for the analysis of distributions of muscle fiber areas.Air ionisation and colonisation/infection with methicillin-resistant Staphylococcus aureus and Acinetobacter species in an intensive care unit.The Poisson Index: a new probabilistic model for protein ligand binding site similarity.Letters to the editorAutomatic bandwidth selection for circular density estimationLetters to the editorHierarchical Bayesian modelling of spatial age-dependent mortalityImage segmentation using voronoi polygons and MCMC, with application to muscle fibre imagesBayesian texture segmentation of weed and crop images using reversible jump Markov chain Monte Carlo methodsClassification of form under heterogeneity and non-isotropic errorsNonparametric circular quantile regressionNon-parametric smoothing and prediction for nonlinear circular time seriesValidating protein structure using kernel density estimatesKernel density estimation on the torusLocal polynomial regression for circular predictorsUsing small bias nonparametric density estimators for confidence interval estimationOn boosting kernel regressionA multivariate von mises distribution with applications to bioinformaticsNonparametric Regression for Spherical DataParametric circular-circular regression and diagnostic analysisNon-parametric Regression for Circular ResponsesMatching markers and unlabeled configurations in protein gelsMixtures of concentrated multivariate sine distributions with applications to bioinformaticsSmooth estimation of circular cumulative distribution functions and quantilesClassification of type I-censored bivariate dataOn boosting kernel density methods for multivariate data: density estimation and classificationAssessment of cooked alpaca and llama meats from the statistical analysis of data collected using an ‘electronic nose’Growth and development of human muscle: A quantitative morphological study of whole vastus lateralis from childhood to adult ageA morphometrical comparison of right and left whole human vastus lateralis muscle: how to reduce sampling errors in biopsy techniquesOrthogonal series estimators and cross-validationBootstrap choice of the smoothing parameter in kernel density estimationVariability in muscle fibre areas in whole human quadriceps muscle: how to reduce sampling errors in biopsy techniquesAkaike's information criterion and the histogram
P50
Q24650447-A18F0875-15D2-471A-85F3-5FA5D702CD07Q30772678-F5F1AA22-7697-4F87-8962-74E176AC076BQ31121370-16D71489-E056-447B-8FB0-45D3DA5F8B90Q33363825-DB3D56B3-132B-498F-92F4-B40F059DAFD0Q39968131-1B70A7B4-E185-448A-AB53-21B5F5FDA70DQ44209281-F22FE02B-7A66-4746-B27D-00408FD37716Q46908273-4DB72984-FB29-42B9-BF3A-654EAA80197AQ50669936-216BF137-29E4-484F-93E5-B8B89D109917Q57498143-51D20173-1598-4D61-B6D4-3BF08FBD0CEFQ57949050-1E87468E-7011-47E6-B28A-317BA679D65AQ57993953-F220CEDF-401B-4386-AC00-9548712CB2F6Q58419263-CFF3A8AD-5A35-4486-89E5-861FDF325C01Q58419265-4EF2DA05-C3BF-4FD5-B29D-ECF6A6EB375CQ58419270-C0F097DD-8A1C-4CB3-B71D-8039BF43205FQ59888555-8BE45C10-F633-4574-881F-312305645544Q59894591-9366F055-F8AB-4C83-B97D-03335F18AB45Q59902397-AFE725F0-4B89-4E8C-8574-A0B67D16C1AEQ59902403-3A570301-85C7-4DBD-A59A-023F3C20C296Q59902920-DFFDE46D-3AA0-403E-8255-D20C6CA6EFC1Q59903552-3803328C-D6F9-4376-9D9C-6B59A7ADE4F2Q59903657-81981394-4AD8-4F52-93AC-9EAF3AB40F08Q59903786-F9EB7DEB-ADA2-4844-AE5D-C43E093431CDQ59903862-4E0F52F5-B42E-4002-AC1F-56A0F5DBEE85Q61847743-FD178961-1C04-45C9-95CD-C2A511C0115CQ61847744-CA8145E8-1D78-4994-A3B9-1A7EA9D6D21BQ61847745-7ED2CFC1-99C6-45F5-8639-0F1A39C7549AQ61847746-65EFA7A1-BE4B-4E97-8A4E-AC5BC5180B54Q61847747-4FC922DB-C611-4269-ACC0-C9CA51D4A7F0Q61847748-112B9C2F-2D41-4575-9C33-8C14A76D1D5CQ61847750-FC26815D-45D5-43FD-962E-60C8DFB802CDQ61847753-ABE68C30-4599-433F-BA75-5846940F8DB1Q61847755-800F7EB3-8D03-4C31-AFF8-33B12F8AE888Q61847757-7FEBEE0C-243E-4A75-ADFB-03EB75BEE670Q61847758-88BE1CFF-E907-4914-9FC1-2101F1110462Q61847759-5E260166-702C-48D2-A085-4835F2BE2F7AQ61847760-E3503D8C-86E4-4C7F-988C-83A16EE4C57BQ61847761-5C4306DE-0957-42A7-A933-64047662DAA9Q61847762-7A1F066C-B610-4817-AC9B-E6B018E632AD
P50
description
researcher, ORCID id # 0000-0003-0181-1094
@en
wetenschapper
@nl
name
Charles C Taylor
@ast
Charles C Taylor
@en
Charles C Taylor
@es
Charles C Taylor
@nl
type
label
Charles C Taylor
@ast
Charles C Taylor
@en
Charles C Taylor
@es
Charles C Taylor
@nl
prefLabel
Charles C Taylor
@ast
Charles C Taylor
@en
Charles C Taylor
@es
Charles C Taylor
@nl
P106
P1153
7404823544
P31
P496
0000-0003-0181-1094