about
Functional analysis of limb transcriptional enhancers in the mouseA Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutantsTime-dependence of graph theory metrics in functional connectivity analysis.Role of Increased n-acetylaspartate Levels in Cancer.A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses.A Bayesian Semi-parametric Approach for the Differential Analysis of Sequence Counts Data.Bayesian Models for fMRI Data Analysis.Bayesian vector autoregressive model for multi-subject effective connectivity inference using multi-modal neuroimaging data.An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.Safety of endoscopic interventions in patients with thrombocytopenia.A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles.Bone marrow changes related to disuse.Empirical Assessment of Spatial Prediction Methods for Location Cost Adjustment Factors.Body image screening for cancer patients undergoing reconstructive surgeryFalse Discovery Control in Large-Scale Spatial Multiple Testing.Generalized species sampling priors with latent Beta reinforcements.The role of the gastrointestinal microbiome in infectious complications during induction chemotherapy for acute myeloid leukemia.Retaining Faculty in Academic Medicine: The Impact of Career Development Programs for WomenBioavailable insulin-like growth factor-I inversely related to weight gain in postmenopausal women regardless of exogenous estrogen.Characterization of oral and gut microbiome temporal variability in hospitalized cancer patients.A class of covariate-dependent spatiotemporal covariance functions.Bayesian nonparametric statistics: A new toolkit for discovery in cancer research.A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells.A role for BMP-induced homeobox gene MIXL1 in acute myelogenous leukemia and identification of type I BMP receptor as a potential target for therapy.A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR ASSOCIATION TO GENE EXPRESSION.Optimal Threshold and Time of Absolute Lymphocyte Count Assessment for Outcome Prediction after Bone Marrow Transplantation.Body image and quality of life of breast cancer patients: influence of timing and stage of breast reconstructionAn Integrative Bayesian Modeling Approach to Imaging Genetics.Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome.Technical Note: A Monte Carlo study of magnetic-field-induced radiation dose effects in mice.A Bayesian Discovery Procedure.Erratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.Metal artifact suppression at the hip: diagnostic performance at 3.0 T versus 1.5 Tesla.Testing the nicotine dependence measure mFTQ for adolescent smokers: A multinational investigation.Erratum to: Metal artifact suppression at the hip: diagnostic performance at 3.0 T versus 1.5 Tesla.Causes of fatal accidents for instrument-certified and non-certified private pilots.Quality of life among long-term survivors of advanced stage ovarian cancer: A cross-sectional approach.A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraintsA Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection.Reduction of incorrect record accessing and charting patient electronic medical records in the perioperative environment.
P50
Q28654627-60455916-9B9F-43D0-90ED-B14DC8ACD08DQ28833472-8F06714A-6DD1-4B3F-9361-FB405AB70D67Q30365719-4A1DD35B-BB87-47C4-8352-86A34EE87824Q30488862-490A4B3D-9B38-47FC-BC4C-8246E73D7961Q30781656-4B4BBEC2-271E-41CD-8CB9-3DE41FB026BFQ30822033-CAEFA23C-92B4-47D9-95B8-E9EB8BC788BBQ30906699-851D9BBD-06EE-4825-9113-A47FF6441225Q31143262-B427F482-CA8F-4C9C-AEF9-D34F046AF32BQ31160511-321A3208-6FAF-4140-87A1-20E7FC54E71AQ33414549-5BD1B1D7-5B23-4ADD-9C97-42E5D0CDABCEQ33598986-EB517842-B497-4D50-B548-AB7CCE3DD97FQ33631945-7EB7C426-E671-46FE-85D1-82A2ADF968F6Q33882243-BD97825B-DB6B-4B77-97EB-BDAC5B1BF650Q33977767-159AD0CD-C3AE-49CA-BF15-A3B3071E9873Q35025869-B1B706B9-253E-4E67-B74A-CA46C33D8FF1Q35357671-F0A67238-98E8-4A34-A7F3-0ACCC7C84AFDQ36007787-66FADE1C-FBE5-4E99-BA0F-34E0217FAFA1Q37081153-E5A21BA6-909D-4409-B323-CE46BE9BE72DQ37670404-5F020BDC-5127-4473-BCBC-32504FB17259Q37673349-000D2262-C688-443C-A042-D0AA294BFE11Q37721703-508ACB48-70B8-49D1-ADE4-27B761898C4AQ38662769-1097E0B3-2385-49FC-939E-0A60A5B3B40CQ38774786-B06A9E72-3D74-4B20-9E62-6331C5D51E5AQ38924940-F1704D74-0CD7-4555-A6EB-09FC52A7267CQ39515956-5F283002-4DF7-4035-8310-46B3C1E7492BQ41158988-BD47310F-CDEC-4D6D-8DB2-0BFCFDE0D54FQ41698401-B53EDFE3-5426-4492-84A8-71366639B6A6Q42012953-70866853-9F58-41CC-AA1F-FEAAF8DFE38DQ42029640-FF4FBE37-CA3D-4B91-BE5D-B76E902214A4Q42097218-9C803316-0AE1-4F7A-AF84-4CEE6B406B50Q42280895-0CF78F4F-7458-40C3-8D99-B4533DF93878Q42314650-8ED483EC-BBF3-4194-AE5D-2F01E529A664Q43620805-ECE5B266-84FE-4006-8097-72AFD3E27672Q45939811-F07A5B39-E320-498A-9B4D-A54D698A8B1BQ46151040-6F362693-0DC6-4862-9011-48502B5EDF67Q46259397-412C8DB9-666F-48BB-8646-71171336A49AQ46576861-9FF8F2F0-1374-4E8E-AD26-223A1C2D9F64Q47036929-0AFF5B40-3636-4E41-9B91-47A3B1DE568EQ47137489-EED481FC-9265-4921-A077-105FAB1803E9Q47638743-B229E469-02C5-46D8-8FE4-C97F086A924C
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Michele Guindani
@ast
Michele Guindani
@en
Michele Guindani
@es
Michele Guindani
@sl
type
label
Michele Guindani
@ast
Michele Guindani
@en
Michele Guindani
@es
Michele Guindani
@sl
prefLabel
Michele Guindani
@ast
Michele Guindani
@en
Michele Guindani
@es
Michele Guindani
@sl
P1053
F-1301-2017
P106
P1153
56099442300
P2456
P2798
P31
P3829
P3835
michele-guindani4
P496
0000-0002-6363-9907