Author

Eda Calapkulu

Yale University

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

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Amar H. ShethiD· 1 shared Bastian RieckiD· 1 shared Brian P. HafleriD· 1 shared Guy WolfiD· 1 shared Jessie Huang· 1 shared Le ZhangiD· 1 shared Madhvi MenoniD· 1 shared Manik Razdan KuchrooiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Amar H. ShethORCID

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1 paper

Recent·Most cited

Topological analysis of single-cell data reveals shared glial landscape of macular degeneration and neurodegenerative diseases

Manik Razdan Kuchroo, Marcello DiStasio, Eda Calapkulu, Maryam Ige, Le Zhang, Amar H. Sheth, Madhvi Menon, Yu Xing, Scott Gigante, Jessie Huang, Rahul M. Dhodapkar, Bastian Rieck, Guy Wolf, Smita Krishnaswamy, Brian P. Hafler

A topological machine learning approach applied to single-nucleus RNA sequencing identifies shared glial activation states in AMD, AD, and MS.

bioRxiv · Jan 19, 2021 · PreprintNeuroscience