Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of Huntington’s Disease
- 24 July 2019
- book chapter
- Published by Springer Nature
- p. 529-542
Abstract
No abstract availableThis publication has 20 references indexed in Scilit:
- Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk MinimizationIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018
- Identify Huntington’s disease associated genes based on restricted Boltzmann machine with RNA-seq dataBMC Bioinformatics, 2017
- Neurodegenerative disease: Brain windfallNature, 2014
- Dysregulation of protein trafficking in neurodegenerationMolecular Neurodegeneration, 2014
- Huntington disease: natural history, biomarkers and prospects for therapeuticsNature Reviews Neurology, 2014
- New Perspectives on the Neuropathology in Huntington's Disease in the Human Brain and its Relation to Symptom VariationJournal of Huntington's Disease, 2012
- What have we learned from gene expression profiles in Huntington's disease?Neurobiology of Disease, 2012
- Discovering regulatory and signalling circuits in molecular interaction networksBioinformatics, 2002
- Pathways to Primary Neurodegenerative DiseaseMayo Clinic Proceedings, 1999
- Aggregation of Huntingtin in Neuronal Intranuclear Inclusions and Dystrophic Neurites in BrainScience, 1997