Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures

Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures

Follicular lymphoma (FL) is the second most common lymphoma in Western countries. FL is characterized by being incurable, usually having an indolent clinical course with frequent relapses, and an eventual patient’s death or transformation to Diffuse Large B-cell Lymphoma. The immune response and the...

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Bibliographic Details
Main Authors: Joaquim Carreras, Yara Yukie Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Naoya Nakamura, Rifat Hamoudi
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Machine Learning and Knowledge Extraction
Subjects:
follicular lymphoma
gene expression
prognosis
immune microenvironment
artificial intelligence
multilayer perceptron
Online Access:https://www.mdpi.com/2504-4990/2/4/35

Internet

https://www.mdpi.com/2504-4990/2/4/35

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