Author

D. C. Anastasiu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

A. K. Ramasubramanian· 1 shared B. Bose· 1 shared E. A. Arriaga· 1 shared J. Nguyen· 1 shared T. Downey· 1 shared Y. Li· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperMicrobiology

A. K. Ramasubramanian

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2 papers

Recent·Most cited

CosTaL: An Accurate and Scalable Graph-Based Clustering Algorithm for High-Dimensional Single-Cell Data Analysis

Y. Li, J. Nguyen, D. C. Anastasiu, E. A. Arriaga

CosTaL is a graph-based clustering algorithm for single-cell data that improves clustering effectiveness and scalability compared to existing methods.

bioRxiv · Nov 10, 2022Biochemistry

Identification of distinct characteristics of antibiofilm peptides and prospection of diverse sources for efficacious sequences

B. Bose, T. Downey, A. K. Ramasubramanian, D. C. Anastasiu

This paper develops machine learning models to identify antibiofilm peptides from diverse sources and evaluates their efficacy against biofilms.

bioRxiv · Sep 28, 2021Microbiology