Similarity measurement method and device of gene module group, electronic equipment and storage medium
A similarity measurement and storage medium technology, which is applied in the field of similarity measurement methods of electronic equipment and storage media, devices, and gene module groups, can solve the problem that the similarity results cannot accurately measure the similarity of gene module groups, and achieve accurate similarity effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0067] First, the miRNA and mRNA expression profile data of breast cancer matched samples were obtained from the cancer gene expression profile database TCGA (The Cancer GenomeAtla). After removing duplicates and miRNAs and mRNAs without gene names, 894 miRNAs from 690 breast cancer matching samples were obtained, denoted as D 1 ={G 1,1 ;G 1,2 ;…;G 1,690}∈R 690×894 , also obtained 19068 mRNA expression profile data, denoted as D 2 ={G 2,1 ;G 2,2 ;…;G 2,690}∈R 690×19068 , in this example, gene represents miRNA or mRNA.
[0068] Then, breast cancer subtypes can be predicted based on the acquired gene expression profile data.
[0069] Based on the above breast cancer data, 690 breast cancer samples were divided into five subtypes using the PAM50 molecular subtype classification model: LuminalA type (LumA), LuminalB type (LumB), basal cell type (Basal), HER2 overexpression type ( Her2) and normal gene expression type (Normal). The number of breast cancer samples of LumA...
Embodiment 2
[0086] In this embodiment, the process of obtaining gene expression profile data is the same as that in Embodiment 1, and details are not repeated here.
[0087] In this embodiment, five clustering methods (including WGCNA method, K-means clustering method, hierarchical clustering method, FCM clustering method and FABIA double-clustering factor analysis method) were used based on the obtained gene expression profile data, respectively. Identify co-expression modules of genes. Among them, the minimum scale-free topology fitting index R in the WGCNA method 2 It is set to 0.8, the maximum number of clusters of K-means clustering method, hierarchical clustering method, FCM clustering method and FABIA bi-clustering factor analysis method is set to 10, and other parameters are default settings. The number of miRNAs or mRNAs in each miRNA or mRNA co-expression module is not less than 3. Five methods identified five miRNA co-expression module groups in breast cancer miRNA expression...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com