Hannes Bretschneider
Hannes Bretschneider
Donnelly Centre and Department of Molecular Genetics, University of Toronto
Verified email at utoronto.ca
Title
Cited by
Cited by
Year
The human splicing code reveals new insights into the genetic determinants of disease
HY Xiong, B Alipanahi, LJ Lee, H Bretschneider, D Merico, RKC Yuen, ...
Science 347 (6218), 2015
9802015
Critical Assessment of Automated Flow-Cytometry Analysis Techniques
N Aghaeepour, G Finak, the FlowCAP Consortium, the Dream Consortium, ...
Nature Methods 10, 228–238, 2013
5402013
Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network
B Frey, MKK Leung, AT Delong, HY Xiong, B Alipanahi, LJ Lee, ...
US Patent 10,185,803, 2019
362019
COSSMO: predicting competitive alternative splice site selection using deep learning
H Bretschneider, S Gandhi, AG Deshwar, K Zuberi, BJ Frey
Bioinformatics 34 (13), i429-i437, 2018
282018
Probabilistic estimation of short sequence expression using RNA-Seq data and the “positional bootstrap”
HY Xiong, LJ Lee, H Bretschneider, J Gao, N Jojic, BJ Frey
bioRxiv, 046474, 2016
52016
Systems and Methods for Determining Effects of Genetic Variation of Splice Site Selection
B Frey, H Bretschneider
US Patent App. 16/571,335, 2020
2020
Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network
B Frey, MKK Leung, AT Delong, HY Xiong, B Alipanahi, LJ Lee, ...
US Patent App. 16/197,146, 2019
2019
Alternative Splice Site Prediction with Deep Learning
H Bretschneider
University of Toronto (Canada), 2019
2019
Automatic determination of the number of mixture components in Flow Cytometry with Variational Bayes
H Bretschneider, A Roth, S Pyne, X Hu, K Wang, E Rossin, T Lin, L Maier, ...
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