12P2532X152 KJ3222X1-BA1 CE4003S2B1 EMERSON DCS functional module

Description

12P2532X152 KJ3222X1-BA1 CE4003S2B1 EMERSON DCS functional module

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CE4003S2B1 functional module
(1) Data preprocessing. The basic work of clustering analysis is to complete the reading of clustering analysis data in txt file format, responsible for filtering and normalizing the data before clustering.
(2) Classification statistics. In this module, the selection of classification statistics before clustering analysis is completed, including the selection of similarity coefficients and distances, generating distance matrices or similarity coefficient matrices, and saving them in the form of txt files.

(3) CE4003S2B1 clustering analysis method. This module implements various clustering analysis methods, providing systematic clustering analysis methods, dynamic clustering methods, self-organizing graph analysis methods, and fuzzy clustering analysis methods. Generate clustering result data, save it as a txt file, and finally output a clustering hierarchy diagram. Revealing the implicit relationships between samples provides a valuable guidance for further identifying genes with similar expression patterns.
(4) Identification of differentially expressed genes. Use this function to identify genes with differential expression in different samples. Provide convenience for searching for therapeutic genes in biological experiments.
(5) Other statistical functions. CE4003S2B1 provides some commonly used statistical methods for analyzing biological experimental data, such as T-test, variance test, etc.

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