(Q35543632)

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Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA).

scientific article published on 12 January 2015

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Europe PubMed Central

PubMed publication ID

8 August 2017

Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA). (English)

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Europe PubMed Central

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8 August 2017

canonical correlation analysis

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1

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:25592998%20AND%20SRC:MED&resulttype=core&format=json

31 May 2020

5

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31 May 2020

8

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31 May 2020

9

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Europe PubMed Central

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31 May 2020

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Yangsong Zhang

2

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31 May 2020

Rui Zhang

3

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Europe PubMed Central

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31 May 2020

Xingxing Zhang

4

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31 May 2020

Pedro A Valdes-Sosa

6

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:25592998%20AND%20SRC:MED&resulttype=core&format=json

31 May 2020

Peng Xu

7

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Europe PubMed Central

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31 May 2020

publication date

12 January 2015

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8 August 2017

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31 May 2020

109

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31 May 2020

388-401

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Europe PubMed Central

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31 May 2020

Detecting novel associations in large data sets

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https://opencitations.net/index/coci/api/v1/citations/10.1126/SCIENCE.1205438

30 October 2021

Identifiers

10.1016/J.NEUROIMAGE.2015.01.006

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:25592998%20AND%20SRC:MED&resulttype=core&format=json

31 May 2020

DBLP publication ID

journals/neuroimage/DongZZZGVXLY15

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DBLP Dataset 2021-01-02

28 January 2021

PubMed publication ID

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:25592998%20AND%20SRC:MED&resulttype=core&format=json

31 May 2020

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