Predicting Serotonin Transporter Haplotypes Based on Reinforcement Learning

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dc.contributor.authorRu'a Rimawi
dc.contributor.authorAnfal Abu Hilal
dc.contributor.authorMohmmad M. Herzallah
dc.date.accessioned2022-06-22T08:52:45Z
dc.date.available2022-06-22T08:52:45Z
dc.date.issued2022-05-11
dc.description.abstractBackground: Serotonergic neurotransmission has been implicated in risk assessment, processing of negative feedback, and encoding value and time interaction. In humans, central serotonin signals are usually inferred from naturally-occurring polymorphisms in genes that encode key proteins for the synaptic reuptake of serotonin, namely the serotonin transporter (SERT). The SERT gene has two well-studied functional polymorphisms: (1) the 5-HT transporter-linked polymorphic region (5-HTTLPR; long allele (L) = low serotonin, short allele = high serotonin), and (2) the serotonin transporter polyadenylation polymorphism (STPP; C allele = high, A allele = low serotonin).
dc.identifier.urihttps://hdl.handle.net/20.500.12213/6566
dc.language.isoen
dc.publisherAl-Quds University, Deanship of Scientific Research
dc.titlePredicting Serotonin Transporter Haplotypes Based on Reinforcement Learning
dc.typeArticle
dspace.entity.type
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