Hannes Bretschneider
Hannes Bretschneider
Donnelly Centre and Department of Molecular Genetics, University of Toronto
Verified email at utoronto.ca
TitleCited byYear
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), 1254806, 2015
6862015
Critical Assessment of Automated Flow-Cytometry Analysis Techniques
N Aghaeepour, G Finak, the FlowCAP Consortium, the Dream Consortium, ...
Nature Methods 10, 228–238, 2013
4192013
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. 14/739,432, 2016
192016
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
102018
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
22016
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. 10/185,803, 2019
12019
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
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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