A disease similarity matrix based on the uniqueness of shared genes
Abstract Background Complex diseases involve many genes, and these genes are often associated with several different illnesses. Disease similarity measurement can be based on shared genotype or phenotype. Quantifying relationships between genes can reveal previously unknown connections and form a re...
Main Authors: | Matthew B. Carson, Cong Liu, Yao Lu, Caiyan Jia, Hui Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-05-01
|
Series: | BMC Medical Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12920-017-0265-2 |
Similar Items
-
Constructing an integrated gene similarity network for the identification of disease genes
by: Zhen Tian, et al.
Published: (2017-09-01) -
Identifying Common Genes, Cell Types and Brain Regions Between Diseases of the Nervous System
by: Mengling Qi, et al.
Published: (2019-11-01) -
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method
by: Wenwen Fan, et al.
Published: (2020-07-01) -
Predicting drug-disease associations by using similarity constrained matrix factorization
by: Wen Zhang, et al.
Published: (2018-06-01) -
Measuring disease similarity and predicting disease-related ncRNAs by a novel method
by: Yang Hu, et al.
Published: (2017-12-01)