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Arjun Raj

Researcher at University of Pennsylvania

Publications -  142
Citations -  21547

Arjun Raj is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: RNA & Gene. The author has an hindex of 50, co-authored 131 publications receiving 18166 citations. Previous affiliations of Arjun Raj include Rutgers University & University of California, San Diego.

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Quanti.us: a tool for rapid, flexible, crowd-based annotation of images.

TL;DR: This paper describes and characterizes a tool that allows researchers to crowdsource image-annotation tasks and shows equivalent deep learning performance for Quanti.us-derived and expert-derived annotations, which should allow scalable integration with tailored machine learning algorithms.
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The Finite Element Method on the Sierpinski Gasket

TL;DR: For certain classes of fractal differential equations on the Sierpinski gasket, built using the Kigami Laplacian, it is described how to approximate solutions using the finite element method based on piecewise harmonic or piecewise biharmonic splines.

Topological organization of multi-chromosomal regions by Firre

TL;DR: One lncRNA, Firre, is described that interacts with the nuclear matrix factor hnRNPU through a 156 bp repeating sequence and Firre localizes across a ~5 Mb domain on the X-chromosome, suggesting a model in which lncRNAs such as Firre can interface with and modulate nuclear architecture across chromosomes.
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Variability within rare cell states enables multiple paths towards drug resistance

TL;DR: This work performs extensive single cell analysis to identify differences in gene expression and MAP-kinase signaling that mark a rare population of drug-naive cells that ultimately gives rise to drug resistant clones, and demonstrates that this rare subpopulation has rich substructure and is composed of several distinct subpopulations.
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Visualizing allele-specific expression in single cells reveals epigenetic mosaicism in an H19 loss-of-imprinting mutant

TL;DR: The results establish that imprinting disorders can display striking single-cell heterogeneity in their molecular phenotypes and suggest that such heterogeneity may underlie epigenetic mosaicism in human imprinting Disorders.