Yang Yang
Carnegie Mellon University
24 Papers
43 Citations
Yang Yang is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Genome & Biology. The author has an hindex of 10, co-authored 21 publications. Previous affiliations of Yang Yang include Tsinghua University & Peking University.
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Papers
CHANGE-seq reveals genetic and epigenetic effects on CRISPR-Cas9 genome-wide activity.
Cicera R. Lazzarotto,Nikolay L. Malinin,Yichao Li,Ruochi Zhang,Yang Yang,GaHyun Lee,Eleanor Cowley,Yanghua He,Yanghua He,Xin Lan,Kasey Jividen,Varun Katta,Natalia G. Kolmakova,Christopher T. Petersen,Qian Qi,Evgheni Strelcov,Evgheni Strelcov,Samantha Maragh,Giedre Krenciute,Jian Ma,Yong Cheng,Shengdar Q. Tsai +21 more
TL;DR: Circularization for high-throughput analysis of nuclease genome-wide effects by sequencing (CHANGE-seq) is described, a scalable, automatable tagmentation-based method for measuring the genome- wide activity of Cas9 in vitro.
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Predicting enhancer-promoter interaction from genomic sequence with deep neural networks
Shashank Singh,Yang Yang,Barnabás Póczos,Jian Ma +3 more
- 01 Jun 2019
TL;DR: A new computational method using deep learning models to predict enhancer-promoter interactions based on sequence-based features only, when the locations of putative enhancers and promoters in a particular cell type are given, is reported.
Exploiting sequence-based features for predicting enhancer-promoter interactions.
TL;DR: This work demonstrates that sequence‐based features alone can reliably predict enhancer‐promoter interactions genome‐wide, which could potentially facilitate the discovery of important sequence determinants for long‐range gene regulation.
Predicting Enhancer-Promoter Interaction from Genomic Sequence with Deep Neural Networks
TL;DR: This work shows for the first time that sequence-based features alone can reliably predict enhancer-promoter interactions genome-wide, which provides important insights into the sequence determinants for long-range gene regulation.
Patent
Three-dimensional reconstruction method for large-scale outdoor scene
Ji Xiangyang,Yang Yang,Dai Qionghai +2 more
- 10 Jul 2013
TL;DR: In this article, a three-dimensional reconstruction method for a large-scale outdoor scene is proposed, in which the spatial information of the outdoor scene in the full-shooting range is recovered by the 3D reconstruction results of the local areas, according to the images acquired at multiple sight points, and by using the multi-camera acquisition system with a specific structure, and a camera self-calibration method based on outdoor scene; the reconstruction range is large; and the method is definite in principle and low in realization method.
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