HAL-X: Scalable hierarchical clustering for rapid and tunable single-cell analysis | Zendy

James Anibal | Zendy; Alexandre G. R. Day | Zendy; Erol Bahadiroglu | Zendy; Liam J. O’Neil | Zendy; Long Phan | Zendy; Alec Peltekian | Zendy; Amir Erez | Zendy; Mariana J. Kaplan | Zendy; Grégoire AltanBonnet | Zendy; Pankaj Mehta | Zendy

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HAL-X: Scalable hierarchical clustering for rapid and tunable single-cell analysis

Author(s) -

James Anibal,

Alexandre G. R. Day,

Erol Bahadiroglu,

Liam J. O’Neil,

Long Phan,

Alec Peltekian,

Amir Erez,

Mariana J. Kaplan,

Grégoire AltanBonnet,

Pankaj Mehta

Publication year - 2022

Publication title -

plos computational biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.628

H-Index - 182

eISSN - 1553-7358

pISSN - 1553-734X

DOI - 10.1371/journal.pcbi.1010349

Subject(s) - cluster analysis , hierarchical clustering , computer science , scalability , complete linkage clustering , single linkage clustering , hierarchy , data mining , pattern recognition (psychology) , cluster (spacecraft) , raw data , clustering high dimensional data , artificial intelligence , correlation clustering , computational biology , cure data clustering algorithm , biology , database , economics , market economy , programming language

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