Author

Karthik Damodaran

National University of Singapore

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:batch correction / integration· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:optimal transport· 1

Frequent Co-Authors

Caroline UhleriD· 2 shared G. V. ShivashankariD· 2 shared Karren YangiD· 2 shared Abigail Katcoff· 1 shared Adityanarayanan RadhakrishnaniD· 1 shared Ali C. SoylemezogluiD· 1 shared Anastasiya BelyaevaiD· 1 shared Saradha VenkatachalapathyiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Caroline UhlerORCID

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2 papers

Recent·Most cited

Multi-Domain Translation between Single-Cell Imaging and Sequencing Data using Autoencoders

Karren Yang, Anastasiya Belyaeva, Saradha Venkatachalapathy, Karthik Damodaran, Abigail Katcoff, Adityanarayanan Radhakrishnan, G. V. Shivashankar, Caroline Uhler

This paper introduces an autoencoder-based method to integrate single-cell imaging and sequencing data, identifying sub-populations of human naive CD4+ T-cells.

Nature Communications · Jan 4, 2021Peer-reviewedBioinformatics

Autoencoder and Optimal Transport to Infer Single-Cell Trajectories of Biological Processes

Karren Yang, Karthik Damodaran, Saradha Venkatchalapathy, Ali C. Soylemezoglu, G. V. Shivashankar, Caroline Uhler

This paper introduces ImageAEOT, a method combining autoencoders and optimal transport to infer single-cell trajectories from imaging data, validated on chromatin images of cancer cells and tissues.

bioRxiv · Oct 29, 2018 · PreprintBioinformatics