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2020 – today
- 2024
[i8]Daniel McNeela, Frederic Sala, Anthony Gitter
:
Product Manifold Representations for Learning on Biological Pathways. CoRR abs/2401.15478 (2024)- 2023
- [j14]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): 5513-5528 (2023) - [i7]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 abs/2302.04611 (2023) - 2022
- [j13]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) - [i6]Chris S. Magnano, Anthony Gitter:
Graph algorithms for predicting subcellular localization at the pathway level. CoRR abs/2212.05991 (2022) - 2021
- [j12]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): e2104878118 (2021) - [c3]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: 29-38 - [i5]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 abs/2105.14372 (2021) - [i4]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 abs/2109.08633 (2021) - 2020
- [j11]Thevaa Chandereng, Anthony Gitter:
Lag penalized weighted correlation for time series clustering. BMC Bioinform. 21(1): 21 (2020) - [i3]David Merrell, Anthony Gitter:
Inferring Signaling Pathways with Probabilistic Programming. CoRR abs/2005.14062 (2020)
2010 – 2019
- 2019
- [j10]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): 282-293 (2019) - [j9]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): 4438-4449 (2019) - [j8]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) - [j7]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) - [c2]Shengchao Liu, Yingyu Liang, Anthony Gitter:
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. AAAI 2019: 9977-9978 - 2018
- [j6]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) - 2016
- [j5]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) - [i2]Anthony Gitter, Furong Huang, Ragupathyraj Valluvan, Ernest Fraenkel, Animashree Anandkumar:
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models. CoRR abs/1609.06335 (2016) - 2014
- [j4]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) - [c1]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: 39-50 - 2013
- [j3]Anthony Gitter, Ziv Bar-Joseph:
Identifying proteins controlling key disease signaling pathways. Bioinform. 29(13): 227-236 (2013) - 2012
- [j2]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: 104 (2012) - [j1]Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph:
A Network-based Approach for Predicting Missing Pathway Interactions. PLoS Comput. Biol. 8(8) (2012) - 2011
- [i1]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 abs/1108.6113 (2011)
Coauthor Index
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last updated on 2024-10-07 02:25 CEST by the dblp team
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