Chen Chen

According to our database, Chen Chen authored at least 13 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction (Supplementary Data).

Alex Morehead, Chen Chen, Ada Sedova, Jianlin Cheng

Dataset, June, 2023

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction (Supplementary Data).

Alex Morehead, Chen Chen, Ada Sedova, Jianlin Cheng

Dataset, June, 2023

3D-equivariant graph neural networks for protein model quality assessment.

Chen Chen, Xiao Chen, Alex Morehead, Tianqi Wu, Jianlin Cheng

Bioinform., January, 2023

2022

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction.

Alex Morehead, Chen Chen, Jianlin Cheng

Dataset, June, 2022

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction.

Alex Morehead, Chen Chen, Jianlin Cheng

Dataset, May, 2022

Geometric Transformers for Protein Interface Contact Prediction.

Alex Morehead, Chen Chen, Jianlin Cheng

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction.

Alex Morehead, Chen Chen, Jianlin Cheng

Dataset, October, 2021

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction.

Alex Morehead, Chen Chen, Jianlin Cheng

Dataset, October, 2021

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction.

Alex Morehead, Chen Chen, Ada Sedova, Jianlin Cheng

Dataset, June, 2021

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction.

Alex Morehead, Chen Chen, Ada Sedova, Jianlin Cheng

Dataset, June, 2021

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction.

Alex Morehead, Chen Chen, Ada Sedova, Jianlin Cheng

CoRR, 2021

DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks.

Chen Chen, Jie Hou, Xiaowen Shi, Hua Yang, James A. Birchler, Jianlin Cheng

BMC Bioinform., 2021

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function.

Mu Gao, Peik Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen, Nabin Giri, Raj S. Roy, Farhan Quadir, T. Chad Effler, Ryan Prout, Subil Abraham, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021