A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching
Authors
Keywords
-
Journal
Scientific Reports
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-12-09
DOI
10.1038/s41598-022-25524-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
- (2021) Laura Cantini et al. Nature Communications
- Deletion of Alzheimer's disease‐associated CD33 results in an inflammatory human microglia phenotype
- (2021) Jannis Wißfeld et al. GLIA
- Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
- (2021) Steve Rodriguez et al. Nature Communications
- Efficient manipulation of gene dosage in human iPSCs using CRISPR/Cas9 nickases
- (2021) Tao Ye et al. Communications Biology
- WEDGE: imputation of gene expression values from single-cell RNA-seq datasets using biased matrix decomposition
- (2021) Yinlei Hu et al. BRIEFINGS IN BIOINFORMATICS
- G-quadruplexes originating from evolutionary conserved L1 elements interfere with neuronal gene expression in Alzheimer’s disease
- (2021) Roy Hanna et al. Nature Communications
- Vertical integration methods for gene expression data analysis
- (2020) Mengyun Wu et al. BRIEFINGS IN BIOINFORMATICS
- Adenosine triphosphate Binding Cassette subfamily C member 1 (ABCC1) overexpression reduces APP processing and increases alpha- versus beta-secretase activity, in vitro
- (2020) Wayne M. Jepsen et al. Biology Open
- g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update)
- (2019) Uku Raudvere et al. NUCLEIC ACIDS RESEARCH
- Multi-view based integrative analysis of gene expression data for identifying biomarkers
- (2019) Zi-Yi Yang et al. Scientific Reports
- Integrative clustering of multi-level ‘omic data based on non-negative matrix factorization algorithm
- (2017) Prabhakar Chalise et al. PLoS One
- Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets
- (2017) Y.-h. Taguchi Scientific Reports
- Gene expression inference with deep learning
- (2016) Yifei Chen et al. BIOINFORMATICS
- A review on machine learning principles for multi-view biological data integration
- (2016) Yifeng Li et al. BRIEFINGS IN BIOINFORMATICS
- Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
- (2016) Maxim V. Kuleshov et al. NUCLEIC ACIDS RESEARCH
- The role of ABCB1 and ABCA1 in beta-amyloid clearance at the neurovascular unit in Alzheimer's disease
- (2013) Ayman ElAli et al. Frontiers in Physiology
- Integrated Analysis of Multiple Gene Expression Profiling Datasets Revealed Novel Gene Signatures and Molecular Markers in Nasopharyngeal Carcinoma
- (2012) C. Huang et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
- (2009) Da Wei Huang et al. Nature Protocols
- Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
- (2008) Da Wei Huang et al. NUCLEIC ACIDS RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search