Richard L. Halpert | Researcher Profile | Sotabase

Career

· Obstetrics & Gynecology, Personal Womens Care1988–

· Doctor of Medicine, State University of New York Downstate Medical Center College of Medicine1984–

· Litigation Lawyer, Attorney at Law1973–

· Juris Doctor, Indiana University Maurer School of Law1972–

· Bachelor's degree, Kalamazoo College1969–

· Intern, Albert Einstein College of Medicine

· Residency, Albert Einstein College of Medicine

· Obstetrics & Gynecology, Mather Hospital at Northwell Health

· McGill

· M.S Computer Science, McGill University

· Obstetrics & Gynecology, Saint Catherine Of Siena Medical Center

· Obstetrics & Gynecology, St. Francis Hospital & Heart Center

· Bachelor's degree, Tufts University

· Doctor of Philosophy (Ph.D.) Computer Science, University of California, Santa Cruz

Publications (32)

Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

Nature Communications · 2019

513

cited

Longitudinal Transcriptome Analysis Reveals a Sustained Differential Gene Expression Signature in Patients Treated for Acute Lyme Disease

mBio · 2016

cited

Inhibition of the Nuclear Export Receptor XPO1 as a Therapeutic Target for Platinum-Resistant Ovarian Cancer

Clinical Cancer Research · 2016

cited

Component-Based Lock Allocation

International Conference on Parallel Architectures and Compilation Techniques · 2007

cited

AutoSpill is a principled framework that simplifies the analysis of multichromatic flow cytometry data

Nature Communications · 2021

cited

Interferon regulatory factor 1 is an independent predictor of platinum resistance and survival in high-grade serous ovarian carcinoma.

Gynecologic Oncology · 2014

cited

Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets

bioRxiv · 2018

cited

Exchange-Repairs

Journal on Data Semantics · 2014

cited

Practical Query Answering in Data Exchange Under Inconsistency-Tolerant Semantics

International Conference on Extending Database Technology · 2016

cited

20,000 layers under the model: Bayesian neural networks improve the robustness of human PBMC classifications using immunologist encoded bias

Journal of Immunology · 2019

869: Transcriptome and pathway analysis identifies IRF1 as a predictor of progression free and overall survival in ovarian carcinoma

2014

Abstract 1758: Deconstructing protein and gene expression pathways to define the anticancer effects of XPO1 inhibition in ovarian cancer

2015

Abstract 5593: Transcriptome and pathway analysis identifies IRF1 as a predictor of progression free and overall survival in ovarian carcinoma

2014

Improving Gene-Expression Data Analysis

2012

Managing Inconsistencies in Data Exchange

2016

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