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Dr. Debmalya Nandy, PhD, MS, MStat
Dr. Debmalya Nandy, PhD, MS, MStat
Research Associate - Center for Innovative Design & Analysis | Colorado School of Public Health
Verified email at nandy.pro - Homepage
Title
Cited by
Cited by
Year
Host methylation predicts SARS-CoV-2 infection and clinical outcome
IR Konigsberg, B Barnes, M Campbell, E Davidson, Y Zhen, O Pallisard, ...
Communications medicine 1 (1), 42, 2021
422021
Covariate information number for feature screening in ultrahigh-dimensional supervised problems
D Nandy, F Chiaromonte, R Li
Journal of the American Statistical Association 117 (539), 1516-1529, 2022
122022
Metabolomic profiling of stool of two‐year old children from the INSIGHT study reveals links between butyrate and child weight outcomes
D Nandy, SJC Craig, J Cai, Y Tian, IM Paul, JS Savage, ME Marini, ...
Pediatric obesity 17 (1), e12833, 2022
112022
Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics
JP Dekermanjian, E Shaddox, D Nandy, D Ghosh, K Kechris
BMC bioinformatics 23 (1), 179, 2022
92022
Covariate information matrix for sufficient dimension reduction
W Yao, D Nandy, BG Lindsay, F Chiaromonte
Journal of the American Statistical Association, 2019
72019
Circulating biomarkers of extracellular matrix dysregulation are associated with adverse post-stage 2 outcomes in infants with single ventricle heart disease
BS Frank, D Nandy, L Khailova, MB Mitchell, GJ Morgan, M Twite, ...
Scientific Reports 13 (1), 16318, 2023
12023
MRI data harmonization across sites using ComBat enhances classification of meningioma and glioma brain-tumors in dogs: a case study
D Nandy, X Yang, X Jin, L Griffin, K Kechris, F Xing
F1000Research 11, 759, 2022
2022
Host methylation predicts SARS-CoV-2 infection and clinical outcome (preprint)
IR Konigsberg, B Barnes, M Campbell, E Davidson, Y Zhen, O Pallisard, ...
2021
A 1H-NMR Targeted Fecal Metabolomics Study on Childhood Obesity Within the Insight Cohort
D Nandy
2020
Covariate Information: A Novel Approach to Sufficient Dimension Reduction & Feature Screening for Ultrahigh-Dimensional Covariates in Supervised Problems
D Nandy
The Pennsylvania State University, 2019
2019
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Articles 1–10