Author

Ali C. Soylemezoglu

Massachusetts Institute of TechnologyORCID 0000-0002-9338-9232Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:optimal transport· 1 Assay:spatial transcriptomics· 1 Research Focus:trajectory inference· 1

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Caroline UhleriD· 1 shared G. V. ShivashankariD· 1 shared Karren YangiD· 1 shared Karthik Damodaran· 1 shared Saradha Venkatchalapathy· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Caroline UhlerORCID

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1 paper

Recent·Most cited

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