Meta‐analysis of massively parallel reporter assays enables prediction of regulatory function across cell types-Reference-Cited by-同舟云学术

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Meta‐analysis of massively parallel reporter assays enables prediction of regulatory function across cell types

Published:2019-09 Issue:9 Volume:40 Page:1299-1313
ISSN:1059-7794
Container-title:Human Mutation
language:en
Short-container-title:Human Mutation

Author:

Kreimer Anat¹²^ORCID,Yan Zhongxia¹,Ahituv Nadav²^ORCID,Yosef Nir¹³⁴^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Sciences, Center for Computational BiologyUniversity of California Berkeley California

2. Department of Bioengineering and Therapeutic SciencesUniversity of California, San Francisco San Francisco California

3. Ragon Institute of MGH MIT and Harvard Cambridge Massachusetts

4. Chan Zuckerberg Biohub San Francisco California

Publisher

Wiley

Subject

Genetics (clinical),Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/humu.23820

Reference42 articles.

1. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

2. A role for AP-1 in apoptosis: the case for and against

3. Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq

4. MPRAnalyze—A statistical framework for massively parallel reporter assays;Ashuach T.;BioRxiv.,2019

5. Predicting enhancer activity and variant impact using gkm‐SVM

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