Brian Y. Chen

Orcid: 0000-0001-9025-0107

According to our database1, Brian Y. Chen authored at least 30 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Containerization Framework for Bioinformatics Software to Advance Scalability, Portability, and Maintainability.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
ColocQuiaL: a QTL-GWAS colocalization pipeline.
Bioinform., 2022

Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
DiffBond: A Method for Predicting Intermolecular Bond Formation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Conical Representation of Hydrogen Bond Geometry for Quantifying Bond Interactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Precise parallel volumetric comparison of molecular surfaces and electrostatic isopotentials.
Algorithms Mol. Biol., 2020

2019
pClay: A Precise Parallel Algorithm for Comparing Molecular Surfaces.
Proceedings of the 19th International Workshop on Algorithms in Bioinformatics, 2019

On Conformations of Peptides Bound to Class I Major Histocompatibility Complexes.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

A Volumetric Survey of Cavities and Electrostatic Patterns in Protein-RNA Binding Sites.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
MAPS: Analyzing Peptide Binding Subsites in Major Histocompatibility Complexes.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

ACM-BCB 2018 Computational Structural Bioinformatics Workshop (CSBW) Chairs' Welcome.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Influential Mutations in the SMAD4 Trimer Complex Can Be Detected from Disruptions of Electrostatic Complementarity.
J. Comput. Biol., 2017

Investigating Rigidity Properties of Protein Cavities.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2014
VASP-E: Specificity Annotation with a Volumetric Analysis of Electrostatic Isopotentials.
PLoS Comput. Biol., 2014

2012
Improving accuracy in binding site comparison with homology modeling.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

A volumetric method for representing and comparing regions of electrostatic focusing in molecular structure.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
MarkUs: a server to navigate sequence-structure-function space.
Nucleic Acids Res., 2011

2010
VASP: A Volumetric Analysis of Surface Properties Yields Insights into Protein-Ligand Binding Specificity.
PLoS Comput. Biol., 2010

Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction.
BMC Bioinform., 2010

2008
Prediction of enzyme function based on 3D templates of evolutionarily important amino acids.
BMC Bioinform., 2008

2007
The MASH Pipeline for Protein Function Prediction and an Algorithm for the Geometric Refinement of 3D Motifs.
J. Comput. Biol., 2007

Cavity Scaling: Automated Refinement of Cavity-Aware motifs in protein Function Prediction.
J. Bioinform. Comput. Biol., 2007

2006
Geometric Sieving: Automated Distributed Optimization of 3D Motifs for Protein Function Prediction.
Proceedings of the Research in Computational Molecular Biology, 2006

2005
Sampling-Based Roadmap of Trees for Parallel Motion Planning.
IEEE Trans. Robotics, 2005

Algorithms for Structural Comparison and Statistical Analysis of 3D Protein Motifs.
Proceedings of the Biocomputing 2005, 2005

2003
Probabilistic Roadmaps of Trees for Parallel Computation of Multiple Query Roadmaps.
Proceedings of the Robotics Research, The Eleventh International Symposium, 2003

Multiple query probabilistic roadmap planning using single query planning primitives.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003


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