In a research environment dominated by reductionist approaches to brain disease
mechanisms, gene network analysis provides a complementary framework in which to tackle …

In the recent past, a number of methods have been developed for analysis of biological data.
Among these methods, gene co-expression networks have the ability to mine functionally …

Because of the role played by miRNAs in post-transcriptional regulation of an array of
genes, their impact in neuropsychiatric disease pathophysiology has increasingly been …

MicroRNAs (miRNAs) are critical small non-coding RNAs that regulate gene expression by
hybridizing to the 3′-untranslated regions (3′-UTR) of target mRNAs, subsequently …

High throughput biological data need to be processed, analyzed, and interpreted to address
problems in life sciences. Bioinformatics, computational biology, and systems biology deal …

Abstract Background Transcription Factors (TFs) and microRNAs (miRNAs) are key players
for gene expression regulation in higher eukaryotes. In the last years, a large amount of …

MicroRNA (miRNA) regulates gene expression by binding to specific sites in the 3′
untranslated regions of its target genes. Machine learning based miRNA target prediction …

To date, diagnosis of schizophrenia is still based on clinical interviews and careful
observations, which is subjective and variable, and can lead to misdiagnosis and/or delay in …

The emergence of psychiatric disorders relies on the interaction between genetic
vulnerability and environmental adversities. Several studies have demonstrated a crucial …

Co-expression network analyses provide insights into the molecular interactions underlying
complex traits and diseases. In this study, co-expression network analysis was performed to …