A5049025538- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Physiological and biochemical adaptations
- Opioid Use Disorder Treatment
- Substance Abuse Treatment and Outcomes
- Animal Behavior and Reproduction
- Machine Learning in Healthcare
- Neurobiology and Insect Physiology Research
- Pharmaceutical Practices and Patient Outcomes
- Mental Health Research Topics
- Health disparities and outcomes
- Food Security and Health in Diverse Populations
- Bioinformatics and Genomic Networks
- Insect behavior and control techniques
- Clinical Reasoning and Diagnostic Skills
- Patient-Provider Communication in Healthcare
- Health, Environment, Cognitive Aging
- Global Cancer Incidence and Screening
- Neurotransmitter Receptor Influence on Behavior
- Blood Pressure and Hypertension Studies
- Genomics and Phylogenetic Studies
- Pain Management and Opioid Use
- Chromosomal and Genetic Variations
- Heat shock proteins research
Cedars-Sinai Medical Center
2022-2025
California University of Pennsylvania
2024
Johns Hopkins University
2024
Kansas State University
2017-2022
University of Pennsylvania
2021-2022
Saint Joseph's University
2013-2015
Environmental challenges presented by temperature variation can be overcome through phenotypic plasticity in small invasive ectotherms. We tested the effect of thermal exposure to 21, 18, and 11°C throughout whole life cycle individuals, adults reared at 25°C 15 for a 21-d period, long (14:10 hr) short (10:14 photoperiod on ovary size development Drosophila suzukii (Matsumura) (Diptera: Drosophilidae) cultured from recently established population Topeka, Kansas (United States). Examination...
Background Information regarding opioid use disorder (OUD) status and severity is important for patient care. Clinical notes provide valuable information detecting characterizing problematic use, necessitating development of natural language processing (NLP) tools, which in turn requires reliably labeled OUD-relevant text understanding documentation patterns. Objective To inform automated NLP methods, we aimed to develop evaluate an annotation schema OUD its severity, document patterns...
Abstract Purpose Epistasis, the interaction between two or more genes, is integral to study of genetics and present throughout nature. Yet, it seldom fully explored as most approaches primarily focus on single-locus effects, partly because analyzing all pairwise higher-order interactions requires significant computational resources. Furthermore, existing methods for epistasis detection only consider a Cartesian (multiplicative) model terms. This likely limiting epistatic can evolve produce...
As organisms age the environment fluctuates, exerting differential selection across ontogeny. In particular, highly seasonal environments expose life stages to often drastically different thermal environments. This developmental variation is particularly striking in with complex cycles, wherein history also exhibit distinct morphologies, physiologies, and behaviors. Genes acting pleiotropically on responses may produce genetic correlations ontogeny, constraining independent evolution of each...
Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of social risks behaviors. To capture this information at scale, natural language processing (NLP) tools must be developed evaluated. We applied an annotation schema to deeply characterize related clinical, behavioral, environmental factors, automated the machine learning deep...
ABSTRACT Organisms with complex life cycles demonstrate a remarkable ability to change their phenotypes across development, presumably as an evolutionary adaptation developmentally variable environments. Developmental variation in environmentally sensitive performance, and thermal sensitivity particular, has been well documented holometabolous insects. For example, performance adults juvenile stages exhibit little genetic correlation (genetic decoupling) can evolve independently, resulting...
Quantitative Trait Locus (QTL) analysis and Genome-Wide Association Studies (GWAS) have the power to identify variants that capture significant levels of phenotypic variance in complex traits. However, effort time are required select best methods optimize parameters pre-processing steps. Although machine learning approaches been shown greatly assist optimization data processing, applying them QTL GWAS is challenging due complexity large, heterogenous datasets. Here, we describe...
Collections of Drosophila and their relatives were performed using bait traps on the campus Saint Joseph's University, in Philadelphia Lower Merion, Pennsylvania, between July December 2011 continuing March 2012. In collection season, more than 200 specimens suzukii (Matsumura), or spotted wing Drosophila, collected. 2012, started to appear June collected until December. The appearance D. surrounding area has severe, negative implications for local agriculture. suzukii, unlike most other...
Abstract Statistical epistasis has been studied extensively because of its potential to provide evidence for genetic interactions phenotypes, but there have methodological limitations exhaustive, widespread application. We present new algorithms the interaction coefficients standard regression models that permit many varied encodings terms loci and efficient memory usage. The are given two-way three-way may be generalized higher order epistasis. tests also provided. an matrix based algorithm...
<title>Abstract</title> Background Epistasis, the phenomenon where effect of one gene (or variant) is masked or modified by more other genes, can significantly contribute to observed phenotypic variance complex traits. To date, it has been generally assumed that genetic interactions be detected using a Cartesian, multiplicative, interaction model commonly utilized in standard regression approaches. However, recent study investigating epistasis obesity-related traits rats and mice identified...
<title>Abstract</title> <bold>Background: </bold>The investigation of epistasis becomes increasingly complex as more loci are considered due to the exponential expansion possible interactions. Consequently, selecting key features that influence epistatic interactions is crucial for effective downstream analyses. Recognizing this challenge, study investigates efficiency Relief-Based Algorithms (RBAs) in detecting higherorder interactions, which may be critical understanding genetic...
The additive model of inheritance assumes that heterozygotes (Aa) are exactly intermediate in respect to homozygotes (AA and aa). While this is commonly used single-locus genetic association studies, significant deviations from additivity well-documented contribute phenotypic variance across many traits systems. This assumption can introduce type I II errors by overestimating or underestimating the effects variants deviate additivity. Alternative genotype encoding strategies have been...
Epistasis, the phenomenon where effect of one gene (or variant) is masked or modified by more other genes, significantly contributes to phenotypic variance complex traits. Traditionally, epistasis has been modeled using Cartesian epistatic model, a multiplicative approach based on standard statistical regression. However, recent study investigating in obesity-related traits identified potential limitations revealing that it likely only detects fraction genetic interactions occurring natural...
Quantitative Trait Locus (QTL) analysis and Genome-Wide Association Studies (GWAS) have the power to identify variants that capture significant levels of phenotypic variance in complex traits. However, effort time are required select best methods optimize parameters pre-processing steps. Although machine learning approaches been shown greatly assist optimization data processing, applying them QTL GWAS is challenging due complexity large, heterogenous datasets. Here, we describe...
<sec> <title>BACKGROUND</title> Information regarding opioid use disorder (OUD) status and severity is important for patient care. Clinical notes provide valuable information detecting characterizing problematic use, necessitating development of natural language processing (NLP) tools, which in turn requires reliably labeled OUD-relevant text understanding documentation patterns. </sec> <title>OBJECTIVE</title> To inform automated NLP methods, we aimed to develop evaluate an annotation...