A powerful conditional gene-based association approach implicated functionally important genes for schizophrenia.
Miao-Xin LiLin JiangTimothy Shin Heng MakJohnny S. H. KwanChao XuePeikai ChenHenry Chi-Ming LeungLiqian CuiTao LiPak Chung ShamPublished in: Bioinform. (2019)
Keyphrases
- candidate genes
- complex diseases
- gene expression
- gene clusters
- gene gene
- microarray
- gene selection
- gene expression data
- gene ontology
- microarray data
- gene ontology terms
- gene networks
- escherichia coli
- disease genes
- biologically meaningful
- microarray gene expression data
- differentially expressed genes
- microarray datasets
- biological processes
- gene expression profiles
- alternative splicing
- dna microarray data
- microarray expression data
- biological entities
- gene function
- gene regulatory networks
- splice site
- dna microarray
- microarray data analysis
- biomedical literature
- gene prediction
- clustering gene expression data
- gene structure prediction
- sequenced genomes
- sequence data
- high throughput
- comparative genomics
- gene expression data sets
- gene expression datasets
- cancer classification
- genomic sequences
- gene sets
- regulatory networks
- biological networks
- protein protein interactions
- network model