A geometric approach to characterize the functional identity of single cells.

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Bibliographic Details
Title: A geometric approach to characterize the functional identity of single cells.
Authors: Mohammadi S; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, 02139, USA. mohammadi@broadinstitute.org.; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA. mohammadi@broadinstitute.org., Ravindra V; Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA., Gleich DF; Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA., Grama A; Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA. ayg@purdue.cs.edu.
Source: Nature communications [Nat Commun] 2018 Apr 17; Vol. 9 (1), pp. 1516. Date of Electronic Publication: 2018 Apr 17.
Publication Type: Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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