- Gene expression and cancer classification
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Genomics and Rare Diseases
- Advanced Statistical Methods and Models
- Bayesian Methods and Mixture Models
- Plant Molecular Biology Research
- Fungal and yeast genetics research
- Traumatic Brain Injury Research
- Genetic Associations and Epidemiology
- Genomics and Chromatin Dynamics
- Cancer Genomics and Diagnostics
- Plant Gene Expression Analysis
- Genomics and Phylogenetic Studies
- Traumatic Brain Injury and Neurovascular Disturbances
- Statistical Methods and Bayesian Inference
- Molecular Biology Techniques and Applications
- Cell Image Analysis Techniques
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Optimal Experimental Design Methods
- Sparse and Compressive Sensing Techniques
- Machine Learning in Bioinformatics
- Nuclear Engineering Thermal-Hydraulics
- Optical Imaging and Spectroscopy Techniques
University of Maryland, Baltimore County
2013-2024
Walter Reed National Military Medical Center
2024
University of Maryland, Baltimore
2024
University of Maryland, College Park
2022
Abstract During successful pregnancy, a woman is immunologically tolerant of her genetically and antigenically disparate fetus, state known as maternal–fetal tolerance. How this maintained has puzzled investigators for more than half century. Diverse, immune nonimmune mechanisms have been proposed; however, these appear to be unrelated act independently. A population suppressive cells called myeloid-derived suppressor (MDSCs) accumulates in pregnant mice women. Given the profound function...
The purpose of this study was to assess effects a mobile coaching system on glycated hemoglobin (HbA1c) levels in younger versus older patients over 1 year. Participants ( n = 118) included adult with Type 2 diabetes cared for by community physicians. Intervention received phone and individualized web portal. Control usual care. Patients were stratified into two age groups: (<55 years) (≥55 years). intervention resulted greater 12-month declines HbA1c, compared care, both groups p <...
Abstract Background Large-scale tumor sequencing projects are now underway to identify genetic mutations that drive initiation and development. Most studies take a gene-based approach identifying driver mutations, highlighting genes mutated in large percentage of samples as those likely contain mutations. However, this usually does not consider the position mutation within gene or functional context provides. Here we introduce novel method for mapping distinct protein domains, just...
Abstract Background The body of disease mutations with known phenotypic relevance continues to increase and is expected do so even faster the advent new experimental techniques such as whole-genome sequencing coupled association studies. However, genomic studies are limited by molecular complexity phenotype being studied population size needed have adequate statistical power. One way circumvent this problem, which critical for study rare diseases, patterns emerging from functional existing...
The fight against cancer is hindered by its highly heterogeneous nature. Genome-wide sequencing studies have shown that individual malignancies contain many mutations range from those commonly found in tumor genomes to rare somatic variants present only a small fraction of lesions. Such dominate the landscape genomic cancer, yet efforts correlate one or few individuals with functional roles been largely unsuccessful. Traditional methods for identifying drive are 'gene-centric' they consider...
Genes adjacent to telomeres are subject transcriptional repression mediated by an integrated set of chromatin modifying and remodeling factors. The Saccharomyces cerevisiae have served as a model for dissecting the function diverse proteins in gene silencing, their study has revealed overlapping roles many either promoting or antagonizing repression. H3K4 methyltransferase Set1, which is commonly linked activation, been implicated telomere silencing. Set5 H4 K5, K8, K12 that functions with...
Background and objective: With recent breakthroughs in high-throughput sequencing, identifying deleterious mutations is one of the key challenges for personalized medicine. At gene protein level, it has proven difficult to determine impact previously unknown variants. A statistical method been developed assess significance disease mutation clusters on domains by incorporating domain functional annotations assist characterization novel Methods: Disease aggregated from multiple databases were...
Abstract The conserved yeast histone methyltransferase Set1 targets H3 lysine 4 (H3K4) for mono, di, and trimethylation is linked to active transcription due the euchromatic distribution of these methyl marks recruitment during transcription. However, loss results in increased expression multiple classes genes, including genes adjacent telomeres middle sporulation which are repressed under normal growth conditions because they function meiotic progression spore formation. mechanisms...
In recent mutation studies, analyses based on protein domain positions are gaining popularity over gene-centric approaches since the latter have limitations in considering functional context that position of provides. This presents a large-scale simultaneous inference problem, with hundreds hypothesis tests to consider at same time. article aims select significant counts while controlling given level Type I error via False Discovery Rate (FDR) procedures. One main assumption is follow...
The yeast chromatin protein Set4 is a member of the Set3-subfamily SET domain proteins which play critical roles in regulation gene expression diverse developmental and environmental contexts. We previously reported that promotes survival during oxidative stress regulates response genes via stress-dependent localization. In this study, global analysis investigation histone modification status identified role for maintaining repressive mechanisms within subtelomeres under both normal...
In this paper, we study a nonparametric procedure to test independence of bivariate interval censored data; for both current status data (case 1 interval‐censored data) and case 2 data. To do it, propose score‐based modification the Kendall's tau statistic Our defines with expected numbers concordant disconcordant pairs The performance modified approach is illustrated by simulation studies application AIDS study. We compare our method alternative approaches such as two‐stage estimation Sun...
This secondary data analyses of a longitudinal study assessed whether self-efficacy for exercise (SEE) mediated online intervention effects on among older adults and age (50-64 vs. ≥65 years) moderated the mediation. Data were from an bone health study. Eight hundred sixty-six (≥50 randomized to three arms: Bone Power (n = 301), Plus 302), or Control 263). Parallel process latent growth curve modeling (LGCM) was used jointly model growths in SEE assess mediating effect exercise. significant...
The computation of upper tolerance limits is investigated for the zero-inflated lognormal distribution and gamma distribution, with or without covariates.The methodologies consist a fiducial approach bootstrap approaches, including bias corrected accelerated bootstrap-calibrated delta method.Based on estimated coverage probabilities, it concluded that overall, method to be preferred computing limit.Two applications are also discussed; first application analysis data health care expenditures,...
This article investigates computation of pointwise and simultaneous tolerance limits under the logistic regression model for binary data. The data consist n responses, where probability a positive response depends on covariates via function. Upper are constructed number responses in m future trials fixed as well varying levels covariates. former provides upper limits, latter limits. obtained from confidence response, modeled using To compute function, likelihood-based asymptotic methods,...
ABSTRACT Introduction Photophobia is a common visual symptom following mild traumatic brain injury (mTBI), which can adversely affect the military readiness and performance of service members (SMs). We employed Defense Veterans Eye Injury Vision Registry (DVEIVR) to identify describe cohort SMs diagnosed with photophobia post-mTBI. The objective this study was characterize comorbid conditions symptoms in an mTBI photophobia, assess their co-occurrence, persistence effectiveness utilization...
Identifying significant sites in sequence data and analogous is of fundamental importance many biological fields. Fisher's exact test a popular technique, however this approach to sparse count not appropriate due conservative decisions. Since HIV are typically very sparse, it crucial use additional information statistical models improve testing power. In order develop new approaches incorporate the false discovery controlling procedure, we propose two models: one based on empirical Bayes...