Author

James Anibal

National Cancer InstituteORCID 0009-0009-1196-2153Unclaimed ORCID profile · follow to get notified of new preprints

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Alec PeltekianiD· 1 shared Alexandre G. R. DayiD· 1 shared Amir Erez· 1 shared Erol BahadirogluiD· 1 shared Grégoire Y Altan-BonnetiD· 1 shared Liam O’Neill· 1 shared Long PhaniD· 1 shared Mariana J. KaplaniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alec PeltekianORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 1, 2021

Scalable Clustering with Supervised Linkage Methods

James Anibal, Alexandre G. R. Day, Erol Bahadiroglu…·Pankaj Mehta

This paper introduces a novel hierarchical density clustering algorithm, HAL-x, which efficiently generates multiple cluster labels for single-cell data and achieves high accuracy in classifying clinical statuses.

DOI 10.1101/2021.08.01.454697

humanscRNA-seq

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