Results 291 to 300 of about 1,906,656 (324)

Functional Connectivity Associations With Markers of Disease Progression in GRN Pathogenic Variant Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan, Stephanie A. Chu, Suvi Häkkinen, Liwen Zhang, David McFall, Jonathan D. Rohrer, Jesse A. Brown, Alex J. Lee, Kristen Fernhoff, Lorenzo Pasquini, Katherine P. Rankin, Maria Luisa Mandelli, Maria Luisa Gorno‐Tempini, Jennifer S. Yokoyama, Virginia E. Sturm, Brian Appleby, Bradford C. Dickerson, Kimiko Domoto‐Reilly, Tatiana Foroud, Daniel H. Geschwind, Nupur Ghoshal, Neill R. Graff‐Radford, Ging‐Yuek Robin Hsiung, Eric J. Huang, Edward Huey, Kejal Kantarci, Irene Litvan, Ian R. Mackenzie, Mario F. Mendez, Chiadi U. Onyike, Leonard Petrucelli, Eliana Marisa Ramos, Erik D. Roberson, Julio C. Rojas, Maria Carmela Tartaglia, Arthur W. Toga, Sandra Weintraub, Leah K. Forsberg, Hilary W. Heuer, Brad F. Boeve, Adam L. Boxer, Howard J. Rosen, Bruce L. Miller, Fermin Moreno, William W. Seeley, Suzee E. Lee, on behalf of the ALLFTD Consortium   +46 more
wiley   +1 more source

SCPLPA: An miRNA-disease association prediction model based on spatial consistency projection and label propagation algorithm. [PDF]

J Cell Mol Med
Chen M, Deng Y, Li Z, Ye Y, Zeng L, He Z, Peng G.   +6 more
europepmc   +1 more source

Practice Recommendations for Genetic Testing of Ataxias

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Over the past decade, significant advances in genetic testing for ataxia have improved diagnostic accuracy, informed clinical trial eligibility, guided treatment decisions, and enabled cascade testing of at‐risk relatives. While guidance exists for other neurogenetic conditions, there are no standardized guidelines on genetic ...
Sharan R. Srinivasan, Amy D. Mook, Michelle Rochman, Jin Yun Helen Chen, Weiyi Mu, George R. Wilmot, Liana S. Rosenthal, Wendy R. Uhlmann   +7 more
wiley   +1 more source

Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction. [PDF]

PeerJ Comput Sci
Qu J, Liu S, Li H, Zhou J, Bian Z, Song Z, Jiang Z.   +6 more
europepmc   +1 more source

Author Correction: A method for miRNA-disease association prediction using machine learning decoding of multi-layer heterogeneous graph Transformer encoded representations. [PDF]

Sci Rep
Wen S, Liu Y, Yang G, Chen W, Wu H, Zhu X, Wang Y.   +6 more
europepmc   +1 more source

Correction to: HHOMR: a hybrid high-order moment residual model for miRNA-disease association prediction. [PDF]

Brief Bioinform
europepmc   +1 more source

Intelligent Alzheimer's Diseases Gene Association Prediction Model Using Deep Regulatory Genomic Neural Networks. [PDF]

J Alzheimers Dis Rep
Rohini M, Oswalt Manoj S, Surendran D.
europepmc   +1 more source

Promoter Sequences Prediction Using Relational Association Rule Mining

Evolutionary Bioinformatics, 2012
Gabriela Czibula, Maria-Iuliana Bocicor, Istvan Gergely Czibula   +2 more
doaj  

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Microbe-Disease Association Prediction Using RGCN Through Microbe-Drug-Disease Network

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2023
Accumulating evidence has shown that microbes play significant roles in human health and diseases. Therefore, identifying microbe-disease associations is conducive to disease prevention.
Yueyue Wang, Xiu-juan Lei, Ying Pan
semanticscholar   +1 more source

A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction

Briefings Bioinform., 2022
Circular RNAs (circRNAs) are involved in the regulatory mechanisms of multiple complex diseases, and the identification of their associations is critical to the diagnosis and treatment of diseases.
Lei Wang, Leon Wong, Zhengwei Li, Yuan Huang, Xiao-Rui Su, Bowei Zhao, Zhuhong You   +6 more
semanticscholar   +1 more source