Author

Jacqueline L. Buros

Icahn School of Medicine at Mount SinaiORCID 0000-0001-9588-4889Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Eliza ChangiD· 2 shared Jeff HammerbacheriD· 2 shared Alena Otero‐Pagan· 1 shared Alexandra SnyderiD· 1 shared Arun AhujaiD· 1 shared Benjamin P. Readhead· 1 shared Benjamin Scott GlicksbergiD· 1 shared Bülent Arman AksoyiD· 1 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Eliza ChangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Orally active mGluR2/3 metabotropic antagonist pro-drug mimics the beneficial effects of physical exercise on neurogenesis, behavior, and exercise-related molecular pathways in an Alzheimer's disease mouse model

Georgina Perez-Garcia, Mesude Bicak, Jacqueline L. Buros, Jean‐Vianney Haure‐Mirande, Gissel M. Perez, Alena Otero‐Pagan, Miguel A. Gama Sosa, Rita De Gasperi, Mary C. Sano, Fred H. Gage, Carrolee Barlow, Joel T. Dudley, Benjamin Scott Glicksberg, Yanzhuang Wang, Benjamin P. Readhead, , Sam Gandy

This study shows that BCI-838, a mGluR2/3 antagonist, mimics exercise's benefits on neurogenesis, behavior, and molecular pathways in an Alzheimer's mouse model.

bioRxiv · Jan 31, 2022 · PreprintNeuroscience

Infino: a Bayesian hierarchical model improves estimates of immune infiltration into tumor microenvironment

Maxim Zaslavsky, Jacqueline L. Buros, Eliza Chang, Jeff Hammerbacher

Infino improves immune infiltration estimates in tumor microenvironments by using a Bayesian hierarchical model to deconvolve bulk RNA-seq data and enhance accuracy.

bioRxiv · Nov 21, 2017 · PreprintBioinformatics

Contribution of systemic and somatic factors to clinical response and resistance in urothelial cancer: an exploratory multi-omic analysis

Alexandra Snyder, Tavi Nathanson, Samuel Aaron Funt, Arun Ahuja, Jacqueline L. Buros, Matthew David Hellmann, Eliza Chang, Bülent Arman Aksoy, Hikmat A Al‐Ahmadie, Erik C. Yusko, Marissa Vignali, Sharon Benzeno, Mariel Elena Boyd, Meredith Maisie Moran, Gopa Iyer, , Dean F. Bajorin

This study explores factors influencing response and resistance to atezolizumab in urothelial cancer using multi-omic data, finding associations between TCR clonality and clinical outcomes.

PLoS Medicine · May 26, 2017Peer-reviewedGenomics