Anthony Gitter

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 19

Top Topics

Regulatory Networks

Subcellular Localization

Signaling Pathways

Unsupervised Learning

Top Venues

PLoS Comput. Biol.

J. Chem. Inf. Model.

Publications

Daniel McNeela, Frederic Sala, Anthony Gitter
Product Manifold Representations for Learning on Biological Pathways. CoRR (2024)
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, Gene E. Ananiev, Andrew F. Voter, Song Guo, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter
Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries. J. Chem. Inf. Model. 63 (17) (2023)
Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
A Text-guided Protein Design Framework. CoRR (2023)
Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca
Ten quick tips for deep learning in biology. PLoS Comput. Biol. 18 (3) (2022)
Chris S. Magnano, Anthony Gitter
Graph algorithms for predicting subcellular localization at the pathway level. CoRR (2022)
Sam Gelman, Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Anthony Gitter
Neural networks to learn protein sequence-function relationships from deep mutational scanning data. Proc. Natl. Acad. Sci. USA 118 (48) (2021)
Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca
Ten Quick Tips for Deep Learning in Biology. CoRR (2021)
Halie M. Rando, Simina M. Boca, Lucy D'Agostino McGowan, Daniel S. Himmelstein, Michael P. Robson, Vincent Rubinetti, Ryan Velazquez, Casey S. Greene, Anthony Gitter
An Open-Publishing Response to the COVID-19 Infodemic. CoRR (2021)
Halie M. Rando, Simina M. Boca, Lucy D'Agostino McGowan, Daniel S. Himmelstein, Michael P. Robson, Vincent Rubinetti, Ryan Velazquez, Casey S. Greene, Anthony Gitter
An Open-Publishing Response to the COVID-19 Infodemic. DISCO@JCDL (2021)
Thevaa Chandereng, Anthony Gitter
Lag penalized weighted correlation for time series clustering. BMC Bioinform. 21 (1) (2020)
David Merrell, Anthony Gitter
Inferring Signaling Pathways with Probabilistic Programming. CoRR (2020)
Shengchao Liu, Moayad Alnammi, Spencer S. Ericksen, Andrew F. Voter, Gene E. Ananiev, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter
Practical Model Selection for Prospective Virtual Screening. J. Chem. Inf. Model. 59 (1) (2019)
Shengchao Liu, Yingyu Liang, Anthony Gitter
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. AAAI (2019)
Huikun Zhang, Spencer S. Ericksen, Ching-pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton
Predicting kinase inhibitors using bioactivity matrix derived informer sets. PLoS Comput. Biol. 15 (8) (2019)
Jesse G. Meyer, Shengchao Liu, Ian J. Miller, Joshua J. Coon, Anthony Gitter
Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests. J. Chem. Inf. Model. 59 (10) (2019)
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
Open collaborative writing with Manubot. PLoS Comput. Biol. 15 (6) (2019)
Matthew E. MacGilvray, Evgenia Shishkova, Deborah Chasman, Michael Place, Anthony Gitter, Joshua J. Coon, Audrey P. Gasch
Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response. PLoS Comput. Biol. 14 (5) (2018)
Nurcan Tuncbag, Sara J. C. Gosline, Amanda J. Kedaigle, Anthony R. Soltis, Anthony Gitter, Ernest Fraenkel
Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package. PLoS Comput. Biol. 12 (4) (2016)
Anthony Gitter, Furong Huang, Ragupathyraj Valluvan, Ernest Fraenkel, Animashree Anandkumar
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models. CoRR (2016)
Anthony Gitter, Alfredo Braunstein, Andrea Pagnani, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina, Ernest Fraenkel
Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases. Pacific Symposium on Biocomputing (2014)
Siddhartha Jain, Anthony Gitter, Ziv Bar-Joseph
Multitask Learning of Signaling and Regulatory Networks with Application to Studying Human Response to Flu. PLoS Comput. Biol. 10 (12) (2014)
Anthony Gitter, Ziv Bar-Joseph
Identifying proteins controlling key disease signaling pathways. Bioinform. 29 (13) (2013)
Marcel H. Schulz, William E. Devanny, Anthony Gitter, Shan Zhong, Jason Ernst, Ziv Bar-Joseph
DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data. BMC Syst. Biol. 6 (2012)
Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph
A Network-based Approach for Predicting Missing Pathway Interactions. PLoS Comput. Biol. 8 (8) (2012)
Réka Albert, Bhaskar DasGupta, Anthony Gitter, Gamze Gürsoy, Rashmi Hegde, Pradyut Paul, Gowri Sangeetha Sivanathan, Eduardo D. Sontag
A New Computationally Efficient Measure of Topological Redundancy of Biological and Social Networks CoRR (2011)