High‐throughput data dimension reduction via seeded canonical correlation analysis

Publisher: John Wiley & Sons Inc

E-ISSN: 1099-128x|29|3|193-199

ISSN: 0886-9383

Source: JOURNAL OF CHEMOMETRICS (ELECTRONIC), Vol.29, Iss.3, 2015-03, pp. : 193-199

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Abstract