Discovering epistasis interactions in Alzheimer’s disease using integrated framework of ensemble learning and multifactor dimensionality reduction (MDR)
出版年份 2022 全文链接
标题
Discovering epistasis interactions in Alzheimer’s disease using integrated framework of ensemble learning and multifactor dimensionality reduction (MDR)
作者
关键词
-
出版物
Ain Shams Engineering Journal
Volume -, Issue -, Pages 101986
出版商
Elsevier BV
发表日期
2022-09-30
DOI
10.1016/j.asej.2022.101986
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- VEGF-A-related genetic variants protect against Alzheimer’s disease
- (2022) Alexandros M. Petrelis et al. Aging-US
- Discovering epistasis interactions in Alzheimer's disease using deep learning model
- (2022) Marwa M. Abd El Hamid et al. Gene Reports
- A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
- (2021) Alena Orlenko et al. BioData Mining
- GenEpi: gene-based epistasis discovery using machine learning
- (2020) Yu-Chuan Chang et al. BMC BIOINFORMATICS
- Specific functions of Exostosin-like 3 (EXTL3) gene products
- (2020) Shuhei Yamada CELLULAR & MOLECULAR BIOLOGY LETTERS
- Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis
- (2020) Tao Zhou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Integrative glycoproteomics reveals protein N-glycosylation aberrations and glycoproteomic network alterations in Alzheimer’s disease
- (2020) Qi Zhang et al. Science Advances
- Functional analysis of candidate genes identified through whole genome sequencing in Caribbean Hispanic families for late‐onset Alzheimer disease
- (2020) Liyong Wang et al. Alzheimers & Dementia
- Gene-by-environment interactions in Alzheimer’s disease and Parkinson’s disease
- (2019) Amy R. Dunn et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
- (2019) Tao Zhou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Machine Learning Method for Identifying Critical Interactions Between Gene Pairs in Alzheimer's Disease Prediction
- (2019) Hao Chen et al. Frontiers in Neurology
- An ensemble learning approach for brain cancer detection exploiting radiomic features
- (2019) Luca Brunese et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining
- (2018) Ryan J. Urbanowicz et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Precision medicine in diabetes prevention, classification and management
- (2018) Fangying Xie et al. Journal of Diabetes Investigation
- Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis
- (2018) Tao Zhou et al. HUMAN BRAIN MAPPING
- Ensemble learning for detecting gene-gene interactions in colorectal cancer
- (2018) Faramarz Dorani et al. PeerJ
- A regression tree approach using mathematical programming
- (2017) Lingjian Yang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Analytical Strategy to Prioritize Alzheimer’s Disease Candidate Genes in Gene Regulatory Networks Using Public Expression Data
- (2017) Shweta Bagewadi Kawalia et al. JOURNAL OF ALZHEIMERS DISEASE
- Lipid and Alzheimer’s disease genes associated with healthy aging and longevity in healthy oldest-old
- (2017) Lauren C. Tindale et al. Oncotarget
- Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
- (2015) Celeste M. Karch et al. BIOLOGICAL PSYCHIATRY
- A multi-SNP association test for complex diseases incorporating an optimal P-value threshold algorithm in nuclear families
- (2015) Yi-Ting Wang et al. BMC GENOMICS
- Feature Selection Based on the SVM Weight Vector for Classification of Dementia
- (2015) Esther E. Bron et al. IEEE Journal of Biomedical and Health Informatics
- A survey about methods dedicated to epistasis detection
- (2015) Clément Niel et al. Frontiers in Genetics
- Overrepresentation of Glutamate Signaling in Alzheimer's Disease: Network-Based Pathway Enrichment Using Meta-Analysis of Genome-Wide Association Studies
- (2014) Eduardo Pérez-Palma et al. PLoS One
- Epistatic interactions and drug response
- (2013) Britta Weigelt et al. JOURNAL OF PATHOLOGY
- Statistical interpretation of machine learning-based feature importance scores for biomarker discovery
- (2012) Vân Anh Huynh-Thu et al. BIOINFORMATICS
- Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression
- (2012) Matt Silver et al. NEUROIMAGE
- GWASdb: a database for human genetic variants identified by genome-wide association studies
- (2011) Mulin Jun Li et al. NUCLEIC ACIDS RESEARCH
- From SNPs to Genes: Disease Association at the Gene Level
- (2011) Benjamin Lehne et al. PLoS One
- Permutation importance: a corrected feature importance measure
- (2010) André Altmann et al. BIOINFORMATICS
- Epistasis and Its Implications for Personal Genetics
- (2009) Jason H. Moore et al. AMERICAN JOURNAL OF HUMAN GENETICS
- A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data
- (2009) Bjoern H Menze et al. BMC BIOINFORMATICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started