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Multi-Omics

1. Review

  • 2021 Systems Med - Multiple Omics Data Integration
  • 2019 Nature Reviews - Current and future perspectives of liquid biopsies in genomics-driven oncology
  • 2017 Genome Biology - Multi-omics approaches to disease
  • 2017 Trend in Genetics - Single-Cell Multiomics: Multiple Measurements from Single Cells
  • 2014 Nature Reviews - Principles and methods of integrative genomic analyses in cancer

2. Research Article

  • 2021 Nature Commn - An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer
  • 2020 Cell - Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer
  • 2020 Nature - PCAWG - Genomic basis for RNA alterations in cancer
  • 2020 Nature Medicine - Whole genome, transcriptome and methylome profiling enhances actionable target discovery in high-risk pediatric cancer.
  • 2018 Science - Comprehensive functional genomic resource and integrative model for the human brain
  • 2018 Science - Single-cell multiomics sequencing and analyses of human colorectal cancer
  • 2015 Nature - Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease
  • 2014 NMETH - Annotation of loci from genome-wide association studies using tissue-specific quantitative interaction proteomics

3. Method

  • 2021 Bioinformatics - Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data
  • 2020 Bioinformatics - Varmole: A biologically drop-connect deep neural network model for prioritizing disease risk variants and genes
  • 2019 Bioinformatics - DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays
  • 2019 Bioinformatics - Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.
  • 2018 Clinical Cancer Research - Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer

4. Tool

  • 2021 Brief Bioinfo - A comparative study of multi-omics integration tools
  • 2017 PLoS computational biology - mixOmics: An R package for ‘omics feature selection and multiple data integration