about
CARM1 methylates chromatin remodeling factor BAF155 to enhance tumor progression and metastasisDoubly Robust Learning for Estimating Individualized Treatment with Censored DataSignal inhibition by the dual-specific phosphatase 4 impairs T cell-dependent B-cell responses with age.Risk Classification with an Adaptive Naive Bayes Kernel Machine Model.Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.Discriminatory power of common genetic variants in personalized breast cancer diagnosis.Research resource: global identification of estrogen receptor β target genes in triple negative breast cancer cellsOn Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning.Statistical Significance of Clustering using Soft Thresholding.Comments on "Personalized dose finding using outcome weighted learning".An empirical Bayes' approach to joint analysis of multiple microarray gene expression studies.Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach.Quantifying predictive capability of electronic health records for the most harmful breast cancer.Model selection and estimation in regression with grouped variablesStatistical methods for expression quantitative trait loci (eQTL) mapping
P50
Q24320341-90268E50-A1F9-4314-B161-91EA020BF480Q30943366-9C3166D2-9AAB-4F5B-844F-EC10F3362433Q35889270-D20BD265-4B87-44B9-9768-B3F921549257Q35902754-37E419A1-B048-4E0D-B894-C44A22764078Q36387040-42D41B8C-4180-46E4-8FA1-A9CD24AF9370Q36972302-6DA014F9-DB24-4A8E-AE4B-1371F3615F17Q37207621-677E4CEB-0D03-45B6-AD38-5FAB2381F4CEQ39569323-85879173-E3B3-46E6-9F25-66FE6757C9DAQ40118905-6570181F-7A5A-48BC-B81B-5E4CDAD51188Q41732122-DD99AB7D-ACDB-4419-BF25-3E99F135B531Q42598654-D18ED1D0-0BAD-4E45-8E7A-DD3D1BBB8BA8Q47753718-A8423D7D-4DF9-4A0F-B0B1-CE455050661BQ55315486-90101E7B-7539-45EA-96A6-2366A2FCD7C4Q62065859-ADDC10CF-9896-4C53-897C-B48845C4AD33Q82853063-7157B953-EC69-46E0-87D2-65A46EAA3076
P50
description
researcher ORCID ID = 0000-0002-4415-8606
@en
wetenschapper
@nl
name
Ming Yuan
@ast
Ming Yuan
@en
Ming Yuan
@es
Ming Yuan
@nl
type
label
Ming Yuan
@ast
Ming Yuan
@en
Ming Yuan
@es
Ming Yuan
@nl
prefLabel
Ming Yuan
@ast
Ming Yuan
@en
Ming Yuan
@es
Ming Yuan
@nl
P106
P31
P496
0000-0002-4415-8606