Identification of a three-gene-based prognostic model in multiple myeloma using bioinformatics analysis

Identification of a three-gene-based prognostic model in multiple myeloma using bioinformatics analysis

Background Multiple myeloma (MM), the second most hematological malignancy, has high incidence and remains incurable till now. The pathogenesis of MM is poorly understood. This study aimed to identify novel prognostic model for MM on gene expression profiles. Methods Gene expression datas of MM (GSE...

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Bibliographic Details
Main Authors: Ying Pan, Ye Meng, Zhimin Zhai, Shudao Xiong
Format: Article
Language:English
Published: PeerJ Inc. 2021-06-01
Series:PeerJ
Subjects:
Multiple myeloma
Prognosis
WGCNA
Bioinformatics analysis
Prognostic model
Online Access:https://peerj.com/articles/11320.pdf

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