Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 85 checked references that resolve
resolves10.1038/s41698-021-00155-6Structural variant detection in cancer genomes: computational challenges and perspectives for precision oncology
resolves10.1016/j.csbj.2021.01.009Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis
resolves10.3389/fphar.2020.01177Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology
resolves10.3389/fgene.2022.1083719Editorial: Artificial intelligence for extracting phenotypic features and disease subtyping applied to single-cell sequencing data
resolves10.2174/138620709789383222Applications of Cellular Systems Biology in Breast Cancer Patient Stratification and Diagnostics
resolves10.3390/genes12050722Making Sense of Genetic Information: The Promising Evolution of Clinical Stratification and Precision Oncology Using Machine Learning
resolves10.3389/fonc.2020.01030Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools
resolves10.1038/nbt.3790Discovering and linking public omics data sets using the Omics Discovery Index
resolves10.1093/bioinformatics/btv244Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery
resolves10.1186/s12864-015-2223-8Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification
resolves10.1371/journal.pone.0140072Robust Selection Algorithm (RSA) for Multi-Omic Biomarker Discovery; Integration with Functional Network Analysis to Identify miRNA Regulated Pathways in Multiple Cancers
resolves10.1109/BIBM.2018.8621379Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis
resolves10.15252/msb.20178124Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
resolves10.1186/s12859-019-3116-7A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data
resolves10.1038/s41540-019-0099-yiOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery
resolves10.1186/s13062-019-0239-8Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies
resolves10.15252/msb.20188497netDx: interpretable patient classification using integrated patient similarity networks
resolves10.1109/ACCESS.2019.2939405An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis
resolves10.1101/2020.07.02.184705MORONET: Multi-omics Integration via Graph Convolutional Networks for Biomedical Data Classification
resolves10.1186/s12859-021-04146-zSuper.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data
resolves10.1186/s12920-022-01181-4Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
resolves10.1093/bib/bbad253UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data
resolves10.1016/j.chom.2015.01.001The Dynamics of the Human Infant Gut Microbiome in Development and in Progression toward Type 1 Diabetes
resolves10.1089/omi.2018.0097Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine
resolves10.14348/molcells.2021.0042Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes
resolves10.1093/nar/gku102Constructing module maps for integrated analysis of heterogeneous biological networks
resolves10.1016/j.cell.2014.06.049Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin
resolves10.1515/jib-2014-236Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data
resolves10.1093/nar/gky1226Multi-omic and multi-view clustering algorithms: review and cancer benchmark
resolves10.1093/bib/bbx167Multi-omics integration—a comparison of unsupervised clustering methodologies
resolves10.1093/bib/bbz138Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration
resolves10.1039/C4MB00659CClassification of lung cancer using ensemble-based feature selection and machine learning methods
resolves10.1007/s12551-018-0446-zMachine learning and feature selection for drug response prediction in precision oncology applications
resolves10.21037/atm-22-356Challenges, opportunities, and innovative statistical designs for precision oncology trials
resolves10.3390/genes11091098Building towards Precision Oncology for Pancreatic Cancer: Real-World Challenges and Opportunities
resolves10.3390/ijms22062822A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research
resolves10.1093/nar/gkx1090LinkedOmics: analyzing multi-omics data within and across 32 cancer types
resolves10.1016/j.xcrm.2023.100974Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer
resolves10.1016/j.xcrm.2022.100856Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis
resolves10.1016/j.ccell.2022.08.011Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future
resolves10.1038/s41419-022-05437-wHigh-confidence cancer patient stratification through multiomics investigation of DNA repair disorders
resolves10.1038/s41467-022-32266-4Multi-omics analysis defines highly refractory RAS burdened immature subgroup of infant acute lymphoblastic leukemia
resolves10.1016/j.csbj.2023.05.013A novel exosome-derived prognostic signature and risk stratification for breast cancer based on multi-omics and systematic biological heterogeneity
resolves10.1177/15353702211065010Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model
resolves10.1186/s13073-021-00930-xDeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
resolves10.1016/j.ebiom.2022.104276Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study
resolves10.3389/fphys.2018.01965Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients
The 11 references without a DOI — listed, not checked
no DOI — not checkedSingle-cell multiomics: technologies and data analysis methods
no DOI — not checkedSeq-well: portable, low-cost rna sequencing of single cells at high throughput
no DOI — not checkedFull-length rna-seq from single cells using smart-seq2
no DOI — not checkedMulti-omics data integration using cross-modal neural networks
no DOI — not checkedIntegration of multi-omics data for gene regulatory network inference and application to breast cancer
no DOI — not checkedDeepprog: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
no DOI — not checkedA nmf based approach for integrating multiple data sources to predict hiv-1-human ppis
no DOI — not checkedDiscovering perturbation of modular structure in hiv progression by integrating multiple data sources through non-negative matrix factorization
no DOI — not checkedOncokb: a precision oncology knowledge base
no DOI — not checkedArtificial intelligence for precision oncology: beyond patient stratification
no DOI — not checkedNetwork medicine for patients’ stratification: from single-layer to multi-omics
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