Multiple Linear Regression Analysis of lncRNA–Disease Association Prediction Based on Clinical Prognosis Data
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Long noncoding RNAs (lncRNAs) have an important role in various life processes of the body, especially cancer.
The analysis of disease prognosis is ignored in current prediction on lncRNA–disease associations.
In this study, a multiple linear regression model was constructed for lncRNA–disease association prediction based on clinical prognosis data (MlrLDAcp), which integrated the cancer data of clinical prognosis and the expression quantity of lncRNA transcript.
MlrLDAcp could realize not only cancer survival prediction but also lncRNA–disease association prediction.
Ultimately, 60 lncRNAs most closely related to prostate cancer survival were selected from 481 alternative lncRNAs.
Then, the multiple linear regression relationship between the prognosis survival of 176 patients with prostate cancer and 60 lncRNAs was also given.
Compared with previous studies, MlrLDAcp had a predominant survival predictive ability and could effectively predict lncRNA–disease associations.
MlrLDAcp had an area under the curve (AUC) value of 0.875 for survival prediction and an AUC value of 0.872 for lncRNA–disease association prediction.
It could be an effective biological method for biomedical research.
American Psychological Association (APA)
Wang, Bo& Zhang, Jing. 2018. Multiple Linear Regression Analysis of lncRNA–Disease Association Prediction Based on Clinical Prognosis Data. BioMed Research International،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1126134
Modern Language Association (MLA)
Wang, Bo& Zhang, Jing. Multiple Linear Regression Analysis of lncRNA–Disease Association Prediction Based on Clinical Prognosis Data. BioMed Research International No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1126134
American Medical Association (AMA)
Wang, Bo& Zhang, Jing. Multiple Linear Regression Analysis of lncRNA–Disease Association Prediction Based on Clinical Prognosis Data. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1126134
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126134