Anthony Gitter

Opportunities and obstacles for deep learning in biology and medicine

Travers Ching, Daniel Himmelstein, Brett K. Beaulieu‐Jones et al. · 2017 · 309 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +18

Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package

Nurcan Tunçbağ, Sara J.C. Gosline, Amanda J. Kedaigle et al. · PLoS Computational Biology · 2016 · 181 citations · Full text

Engineering, Genetics, Network-based Interpretation +30

Neural networks to learn protein sequence–function relationships from deep mutational scanning data

Sam Gelman, Sarah A. Fahlberg, Pete Heinzelman et al. · Proceedings of the National Academy of Sciences · 2021 · 164 citations · Full text

Structured Prediction, Geometric Learning, Engineering +23

DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data

Marcel H. Schulz, William E Devanny, Anthony Gitter et al. · BMC Systems Biology · 2012 · 138 citations · Full text

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning

Shengchao Liu, Yingyu Liang, Anthony Gitter · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 127 citations · Full text

Artificial Intelligence, Negative Transfer, Engineering +17