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SigHotSpotter: scRNA-seq-based computational tool to control cell subpopulation phenotypes for cellular rejuvenation strategies

scientific article published on 07 November 2019

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31697324

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SigHotSpotter: scRNA-seq-based computational tool to control cell subpopulation phenotypes for cellular rejuvenation strategies (English)

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20 April 2020

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Antonio Del Sol

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31697324

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Srikanth Ravichandran

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31697324

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20 April 2020

András Hartmann

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7 November 2019

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20 April 2020

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Europe PubMed Central

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31697324

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31697324%20AND%20SRC:MED&resulttype=core&format=json

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20 April 2020

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Creative Commons Attribution-NonCommercial 4.0 International

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7 November 2019

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10.1093/BIOINFORMATICS/BTZ827

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Europe PubMed Central

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31697324

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31697324%20AND%20SRC:MED&resulttype=core&format=json

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20 April 2020

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journals/bioinformatics/RavichandranHS20

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DBLP Dataset 2021-01-02

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28 January 2021

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7703776

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PubMed publication ID

31697324

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Europe PubMed Central

PubMed publication ID

31697324

reference URL

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31697324%20AND%20SRC:MED&resulttype=core&format=json

(Q91162768)

SigHotSpotter: scRNA-seq-based computational tool to control cell subpopulation phenotypes for cellular rejuvenation strategies

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