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 | 1424 | 2015 |
Critical Assessment of Automated Flow-Cytometry Analysis Techniques N Aghaeepour, G Finak, the FlowCAP Consortium, the Dream Consortium, ... Nature Methods 10, 228–238, 2013 | 671 | 2013 |
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 | 101 | 2019 |
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 | 58 | 2018 |
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 | 4 | 2016 |
Systems and Methods for Determining Effects of Genetic Variation of Splice Site Selection B Frey, H Bretschneider US Patent App. 16/571,335, 2020 | 1 | 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 11,887,696, 2024 | | 2024 |
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. 17/369,499, 2021 | | 2021 |
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 | | |