about
Negative binomial mixed models for analyzing microbiome count dataA genetic association study detects haplotypes associated with obstructive heart defectsTranscriptomes and shRNA suppressors in a TP53 allele-specific model of early-onset colon cancer in African Americans.Clinical trial designs incorporating predictive biomarkers.A risk algorithm for assessing short-term mortality for obese black and white men and womenBayesian Methods for High Dimensional Linear Models.A New Bayesian Lasso.EM Adaptive LASSO-A Multilocus Modeling Strategy for Detecting SNPs Associated with Zero-inflated Count PhenotypesMultiple comparisons in genetic association studies: a hierarchical modeling approachBayesian Group Bridge for Bi-level Variable Selection.Oronasopharyngeal suction versus wiping of the mouth and nose at birth: a randomised equivalency trial.A Bayesian method for detecting pairwise associations in compositional data.Difference in clinical course, genetics, and the microbiome between familial and sporadic inflammatory bowel diseases.Experimental design and quantitative analysis of microbial community multiomics.Metatranscriptome of human faecal microbial communities in a cohort of adult men.Stability of the human faecal microbiome in a cohort of adult men.Mortality and intestinal failure in surgical necrotizing enterocolitisGut microbiome structure and metabolic activity in inflammatory bowel diseasePredictive metabolomic profiling of microbial communities using amplicon or metagenomic sequencesMulti-omics of the gut microbial ecosystem in inflammatory bowel diseasesBayesian Bridge RegressionAssociation Between Sulfur-Metabolizing Bacterial Communities in Stool and Risk of Distal Colorectal Cancer in MenGroup regularization for zero-inflated negative binomial regression models with an application to health care demand in Germany
P50
Q31152520-459A28F1-1B96-42C6-AD6F-BA27A778DE89Q35038105-8D992586-1825-4A6D-8DE6-3EE227E42BADQ35152037-4DA04170-41B4-46B2-B896-3F58D8DD4E92Q36534713-36F7D88A-2855-49CC-8047-44C578BB729DQ37282968-AFE297E6-7D57-4A48-BC0B-66B5A8220B22Q37557257-8FF99895-1D97-499F-94C0-6CC63FAE4945Q39444705-9EA1991B-5A66-4EE9-BE90-2C9AC8E575D1Q39639439-DBA711B8-28BF-42EE-B4DF-48F5AFDC0FBDQ40968413-67D198B1-81F5-4FF1-878F-C79B66713A6EQ45304393-CFD04B73-97E3-4483-9791-1A8520DBC226Q45945845-4A8DCECE-394E-4AA8-9260-C169DBB4B3F1Q46260997-5FE12C14-BEEA-4523-9DCD-2B34D62A5B72Q46541574-60FF1449-A40B-4AA1-BC0E-0C967A42A0D7Q47168166-ED7B6379-2225-484F-95BA-9C30E3BEF408Q48239720-00A5C5B0-CF7D-47FD-A6C6-EAECF1903C1CQ48239731-DAC16BED-B0E0-48CC-9884-44D0130DFA11Q86353762-9D4B5D58-E8D7-417A-8C01-0B7C9FEFBC50Q90371831-4F2D43CE-26DA-48D2-A6A4-96B99D64332AQ91968027-10063DE4-BCCF-4213-8EDD-9D7F8E04D4D6Q92383004-9452C51C-165A-405A-8770-F4BB377867F0Q92582534-771BE9E7-5E09-46EB-BE6F-A0DB55EF9FF2Q92876747-3D577059-9261-4BFA-9FF0-B59C8D4D9EAAQ95580330-848A7FF7-1657-4AA7-89DE-C67715F23954
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Himel Mallick
@ast
Himel Mallick
@en
Himel Mallick
@es
Himel Mallick
@fr
Himel Mallick
@nl
Himel Mallick
@sl
type
label
Himel Mallick
@ast
Himel Mallick
@en
Himel Mallick
@es
Himel Mallick
@fr
Himel Mallick
@nl
Himel Mallick
@sl
prefLabel
Himel Mallick
@ast
Himel Mallick
@en
Himel Mallick
@es
Himel Mallick
@fr
Himel Mallick
@nl
Himel Mallick
@sl
P106
P1153
55627347600
P2038
Himel_Mallick
P21
P31
P3835
himel-mallick
P496
0000-0003-4956-2429