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Soheil Feizi

Researcher at University of Maryland, College Park

Publications -  172
Citations -  9418

Soheil Feizi is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Computer science & Robustness (computer science). The author has an hindex of 28, co-authored 132 publications receiving 7281 citations. Previous affiliations of Soheil Feizi include Stanford University & IBM.

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Integrative analysis of 111 reference human epigenomes

Anshul Kundaje, +123 more
- 19 Feb 2015 - 
TL;DR: It is shown that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease.
Journal ArticleDOI

Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay

TL;DR: A massively parallel reporter assay (MPRA) that facilitates the systematic dissection of transcriptional regulatory elements and QSAMs from two cellular states can be combined to design enhancer variants that optimize potentially conflicting objectives, such as maximizing induced activity while minimizing basal activity.
Journal ArticleDOI

Network deconvolution as a general method to distinguish direct dependencies in networks

TL;DR: This work presents a general method for inferring direct effects from an observed correlation matrix containing both direct and indirect effects, and introduces an algorithm that removes the combined effect of all indirect paths of arbitrary length in a closed-form solution by exploiting eigen-decomposition and infinite-series sums.

Network deconvolution as a general method to distinguish direct dependencies in networks

TL;DR: In this paper, a general method for inferring direct effects from an observed correlation matrix containing both direct and indirect effects is presented, which is the inverse of network convolution, and introduces an algorithm that removes the combined effect of all indirect paths of arbitrary length in a closed-form solution by exploiting eigendecomposition and infinite-series sums.