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Multiomic Integration of Public Oncology Databases in Bioconductor.

October 2020 | JCO Clinical Cancer Informatics

Global Alliance for Genomics and Health Meets Bioconductor: Toward Reproducible and Agile Cancer Genomics at Cloud Scale.

May 2020 | JCO Clinical Cancer Informatics

Reliable Analysis of Clinical Tumor-Only Whole-Exome Sequencing Data.

April 2020 | JCO Clinical Cancer Informatics

Toward a gold standard for benchmarking gene set enrichment analysis.

February 2020 | Briefings in Bioinformatics

A longitudinal analysis of albendazole treatment effect on neurocysticercosis cyst evolution using multistate models.

August 2019 | Transactions of the Royal Society of Tropical Medicine and Hygiene

CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes.

August 2019 | Bioinformatics

Waldron et al. Reply to “Commentary on the HMP16SData Bioconductor Package”.

June 2019 | American Journal of Epidemiology

Improving Accessibility of the Human Microbiome Project Data Through Integration With R/Bioconductor.

June 2019 | American Journal of Epidemiology

Orchestrating a community-developed computational workshop and accompanying training materials.

October 2018 | F1000 Research

Software for the Integration of Multiomics Experiments in Bioconductor.

November 2017 | Cancer Research
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The CUNY Institute for Implementation Science in Population Health (ISPH) was founded on the notion that substantial improvements in population health can be efficiently achieved through better implementation of existing strategies, policies, and interventions across multiple sectors. We study how to translate and scale-up evidence-based interventions and policies within clinical and community settings in order to improve population health and reduce health disparities. CUNY ISPH. Pursing population health gains through better implementation.

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