Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nicasia Beebe-Wang"'
Autor:
Nicasia Beebe-Wang, Safiye Celik, Ethan Weinberger, Pascal Sturmfels, Philip L. De Jager, Sara Mostafavi, Su-In Lee
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
The molecular basis of Alzheimer’s Disease has been obscured by heterogeneity and scarcity of brain gene expression data, which limit effectiveness in complex models. Here, the authors introduce a multi-task deep learning framework to learn general
Externí odkaz:
https://doaj.org/article/d78ddb707ec94c1ab887dc583c8632d4
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:2409-2420
As the aging US population grows, scalable approaches are needed to identify individuals at risk for dementia. Common prediction tools have limited predictive value, involve expensive neuroimaging, or require extensive and repeated cognitive testing.
Publikováno v:
NAR genomics and bioinformatics. 4(2)
Although knowledge of biological pathways is essential for interpreting results from computational biology studies, the growing number of pathway databases complicates efforts to efficiently perform pathway analysis due to high redundancies among pat
Autor:
Pascal Sturmfels, Nicasia Beebe-Wang, Ethan Weinberger, Sara Mostafavi, Safiye Celik, Su-In Lee, Phillip L. De Jager
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Deep neural networks offer a promising approach for capturing complex, non-linear relationships among variables. Because they require immense sample sizes, their potential has yet to be fully tapped for understanding complex relationships between gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26bc77153ef9159958c66e1c5cbe9fc4
https://doi.org/10.1101/2020.11.30.404087
https://doi.org/10.1101/2020.11.30.404087
Systematic modeling of Alzheimer’s Disease (AD) neuropathology based on brain gene expression would provide valuable insights into the disease. However, relative scarcity and regional heterogeneity of brain gene expression and neuropathology datase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de71d0d72868d8edd545ebfbb51f7a86
Autor:
Anna B. Konova, Nelly Alia-Klein, Nicasia Beebe-Wang, Muhammad A. Parvaz, Rita Z. Goldstein, Elena Shumay, Nora D. Volkow, Scott J. Moeller
Publikováno v:
Journal of Neuroscience. 33:10027-10036
Functional polymorphisms in the dopamine transporter gene (DAT1 or SLC6A3) modulate responsiveness to salient stimuli, such that carriers of one 9R-allele of DAT1 (compared with homozygote carriers of the 10R-allele) show heightened reactivity to dru
Autor:
Muhammad A. Parvaz, Yasmin L. Hurd, Rita Z. Goldstein, Nelly Alia-Klein, Nicasia Beebe-Wang, Kristin E. Schneider, Anna B. Konova, Scott J. Moeller
Publikováno v:
Behavioural brain research. 293
Chronic exposure to drugs of abuse perturbs the endogenous opioid system, which plays a critical role in the development and maintenance of addictive disorders. Opioid genetics may therefore play an important modulatory role in the expression of subs
Autor:
Muhammad A. Parvaz, Scott J. Moeller, Michail Misyrlis, Elena Shumay, Rita Z. Goldstein, Nelly Alia-Klein, Nicasia Beebe-Wang, Anna B. Konova, Salina Wu
Publikováno v:
Drug and alcohol dependence. 140
Gene polymorphisms that affect serotonin signaling modulate reactivity to salient stimuli and risk for emotional disturbances. Here, we hypothesized that these serotonin genes, which have been primarily explored in depressive disorders, could also ha
Autor:
Patricia A. Woicik, Scott J. Moeller, Rita Z. Goldstein, Thomas Maloney, Anna B. Konova, Nicasia Beebe-Wang
Identifying variables that predict drug use in treatment-seeking drug addicted individuals is a crucial research and therapeutic goal. This study tested the hypothesis that choice to view cocaine images is associated with concurrent and prospective d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92e61b38e0f42b40dc1d757e832503bc
https://europepmc.org/articles/PMC3609942/
https://europepmc.org/articles/PMC3609942/