Area of research
Genetics · Molecular Biology
Research interest
Research interests include Genetic Associations and Epidemiology, Genetic Mapping and Diversity in Plants and Animals, Epigenetics and DNA Methylation, and Genetic and phenotypic traits in livestock.
Single-cell DNA methylome and 3D genome atlas of human subcutaneous adipose tissue
Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans
Genome wide association study and genomic risk prediction of age related macular degeneration in Israel
Genome-wide association study and genomic risk prediction of age-related macular degeneration in Israel
Methylation risk scores are associated with a collection of phenotypes within electronic health record systems
Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative
Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning
Bladder Cancer Immunotherapy by BCG Is Associated with a Significantly Reduced Risk of Alzheimer’s Disease and Parkinson’s Disease
Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging
Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
Stochasticity constrained by deterministic effects of diet and age drive rumen microbiome assembly dynamics
Context-aware dimensionality reduction deconvolutes gut microbial community dynamics
Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM
Compositional Lotka-Volterra describes microbial dynamics in the simplex
The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity
Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
Scalable probabilistic PCA for large-scale genetic variation data
Association of a Variant in VWA3A with Response to Anti-Vascular Endothelial Growth Factor Treatment in Neovascular AMD
FEAST: fast expectation-maximization for microbial source tracking
A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions
Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data
Modeling the temporal dynamics of the gut microbial community in adults and infants
Increase of body mass index and waist circumference predicts development of metabolic syndrome criteria in apparently healthy individuals with 2 and 5 years follow-up
Deciphering genetic factors that determine melon fruit‐quality traits using <scp>RNA</scp>‐Seq‐based high‐resolution <scp>QTL</scp> and <scp>eQTL</scp> mapping
BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference
Genome-wide methylation data mirror ancestry information
GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data
An ancestry‐based approach for detecting interactions