Fig. 7 Demonstration of object recognition, scene classification, event classification, and expression recognition accuracy using different thresholds.
These differences in expression patterns imply functional diversification within this gene family; however, at present, the relationship between subgroup classification and expression profile is unclear [ 9].
The development of molecular markers for tumor classification and expression signatures that predict outcome will greatly improve diagnosis treatment of bladder cancer.
The genome-wide identification, chromosomal organisation, functional classification and expression analyses of B. vulgaris MYB genes provide an overall insight into this transcription factor-encoding gene family and their potential involvement in growth and development processes.
In this paper, we report the genome-wide classification, distribution and expression profiling of B.mori SPs and SPHs based on the silkworm genome and microarray data [ 14, 15].
Taken together, our data showed that overexpression of PTOV1 is positively correlated with clinical stage; T, N, M classification; and ER expression levels, which further supported the hypothesis that the elevated PTOV1 expression is associated with breast cancer progression.
Thus, the functional subsets of human CD8+ T cells can be identified by the phenotypic classification and the expression of these 3 cytolytic molecules [25].
To showcase the multifaceted functionalities supported by supraHex (Fig. 1), we used published multilayer omics datasets on DNA replication timing, promoter CpG classification and gene expression [10,11].
A multivariate analysis was performed using the COX proportional hazards model to analyze the prognostic values of age, gender, T classification, N classification, and the expression levels of LOC84740, ENST00000498296, AL359062, and ENST00000438550.
Because no clinicopathologic differences were observed between subtypes according to the Hans or Choi classification and S1PR1/pSTAT3 expression, in this study, further analysis was performed using the Hans classification.
In order to identify markers associated with clinicopathological characteristics of colon cancer patients, the relationship between sex, age, histological grade, metastasis, Duke's classification, and protein expression needed additional research.
