PMID- 30867695
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1792-0981 (Print)
IS  - 1792-1015 (Electronic)
IS  - 1792-0981 (Linking)
VI  - 17
IP  - 3
DP  - 2019 Mar
TI  - Predicting the target genes of miRNAs in preterm via targetscore algorithm.
PG  - 2085-2090
LID - 10.3892/etm.2019.7179 [doi]
AB  - Compared with normal neonates, preterm infants have an immature immune system 
      which causes them to have a higher morbidity rate and even death. In order to 
      reduce the mortality of newborns, we need to find the target genes which affect 
      the preterm and understand their mechanism. It has been verified that microRNA 
      (miRNA)-200 and miRNA-182 are closely related to the incidence of preterm. 
      Therefore, it is significant to predict the target genes which are regulated by 
      them for further understanding the mechanism of preterm. We chose the targetscore 
      method for calculating the variational Bayesian-Gaussian mixture model (VB-GMM) 
      as the target genes prediction method. It is designed for condition-specific 
      target predictions and not limited to predict conserved genes, so the results are 
      more accurate than previous sequence-based target prediction algorithms. In this 
      study, our major contribution is to predict the target mRNAs of the chosen miRNAs 
      with the gene expression profiles and a new method, which can effectively improve 
      the accuracy of the prediction.
FAU - Lu, Kexin
AU  - Lu K
AD  - Department of Obstetrics and Gynecology, Binzhou Medical University Hospital, 
      Binzhou, Shandong 256603, P.R. China.
FAU - Huang, Junzhi
AU  - Huang J
AD  - Department of Obstetrics and Gynecology, Binzhou Medical University Hospital, 
      Binzhou, Shandong 256603, P.R. China.
FAU - Yang, Yandong
AU  - Yang Y
AD  - Department of Obstetrics and Gynecology, Binzhou Medical University Hospital, 
      Binzhou, Shandong 256603, P.R. China.
FAU - Lu, Dongli
AU  - Lu D
AD  - Department of Neurology, Binzhou Medical University Hospital, Binzhou, Shandong 
      256603, P.R. China.
LA  - eng
PT  - Journal Article
DEP - 20190116
PL  - Greece
TA  - Exp Ther Med
JT  - Experimental and therapeutic medicine
JID - 101531947
PMC - PMC6396006
OTO - NOTNLM
OT  - bioinformatics
OT  - microRNA
OT  - preterm
OT  - targetscore
OT  - variational Bayesian-Gaussian mixture model
EDAT- 2019/03/15 06:00
MHDA- 2019/03/15 06:01
PMCR- 2019/01/16
CRDT- 2019/03/15 06:00
PHST- 2018/05/28 00:00 [received]
PHST- 2018/12/07 00:00 [accepted]
PHST- 2019/03/15 06:00 [entrez]
PHST- 2019/03/15 06:00 [pubmed]
PHST- 2019/03/15 06:01 [medline]
PHST- 2019/01/16 00:00 [pmc-release]
AID - ETM-0-0-7179 [pii]
AID - 10.3892/etm.2019.7179 [doi]
PST - ppublish
SO  - Exp Ther Med. 2019 Mar;17(3):2085-2090. doi: 10.3892/etm.2019.7179. Epub 2019 Jan 
      16.