Work

Classify multicategory outcome in patients with lung adenocarcinoma using clinical, transcriptomic and clinico-transcriptomic data: machine learning versus multinomial models

Year: 2020

Type: article

Abstract: associated with dead with disease, respectively, while also inversely linked other outcomes. These cross-linked genes may be used for risk-stratification and future treatment development.

Source: PubMed

DOI: 10.13140/rg.2.2.15071.48802/1

Authors: Deng, Fei, Lanlan Shen, Wang, He, Lanjing Zhang

Institutions: Shanghai Institute of Technology, Baylor College of Medicine, Children's Nutrition Research Center at Baylor College of Medicine, Yale University, University Medical Center of Princeton

Language: English

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

Award: Epigenetically Engineered Mouse Model for Lung Cancer Therapy

OpenAlex ID: W3119723890

FWCI: 1.15

Cites: 42

Cited by: 24

Related to: 20