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Publications

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Lefser: Implementation of metagenomic biomarker discovery tool, LEfSe, in R.

November 2024 | Bioinformatics

Curated single cell multimodal landmark datasets for R/Bioconductor.

August 2023 | PLoS Computational Biology

RaggedExperiment: the missing link between genomic ranges and matrices in Bioconductor.

May 2023 | Bioinformatics

GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databases.

June 2022 | Nature Communications

HGNChelper: identification and correction of invalid gene symbols for human and mouse.

December 2020 | F1000 Research

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
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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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