An improved random forest-based computational model for predicting novel miRNA-disease associations
Background: A large body of evidence shows that miRNA regulates the expression of its target genes at post-transcriptional level and the dysregulation of miRNA is related to many complex human diseases. Accurately discovering disease-related miRNAs is conductive to the exploring of the pathogenesis...
Saved in:
Main Authors: | Yao, Dengju, Zhan, Xiaojuan, Kwoh, Chee-Keong |
---|---|
其他作者: | School of Computer Science and Engineering |
格式: | Article |
語言: | English |
出版: |
2020
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/142190 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
A parallel approach to miRNA target prediction
由: RAHUL RAJAN THADANI
出版: (2010) -
SYNTHETIC CIRCULAR MIRNA SPONGES AS A NOVEL MIRNA INTERFERENCE TECHNOLOGY
由: ANNADORAY LAVENNIAH
出版: (2021) -
ncRNA2MetS : a manually curated database for non-coding RNAs associated with metabolic syndrome
由: Yao, Dengju, et al.
出版: (2020) -
Mapping miRNA research in schizophrenia: a scientometric review
由: Lim, Mengyu, et al.
出版: (2023) -
DIVERSE WAYS OF CONTROLLING miRNA EXPRESSION DURING FLY DEVELOPMENT
由: ZHOU LI
出版: (2017)