High‐throughput data dimension reduction via seeded canonical correlation analysis

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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