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We recently reported the first adaptation of CCA to microarray data (designated as CCA on microarray data, CCAM) to visualise the cross-level relationships between pathological and physiological processes for addressing haematological problems [ 11].
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Gene sets were selected from microarray data to assess proliferation and to classify breast cancers into four different molecular subtypes, designated Luminal, Normal-like, HER2+/ER-, and Basal-like.
TK and RNI analyzed the microarray data.
Thus, understanding microarray data processing steps becomes critical for performing optimal microarray data analysis.
Steps 3.3 and 3.4 extracted drug microarray and disease microarray data respectively.
Fig. 2 Validation of microarray data by quantitative RT-PCR.
The center panels display light vs. dark NSF45K microarray data.
The accession number of the microarray data was GSE73814.
The microarray data was confirmed by QPCR analysis (Table S1).
List of microarray data of various organs and tissues.
Validation of microarray data by qRT-PCR in mungbean seedlings.
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