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Graph machine learning for integrated multi-omics analysis
Multi-omics experiments at bulk or single-cell resolution facilitate the discovery of hypothesis-generating biomarkers for predicting response to...
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Advance in Multi-omics Research Strategies on Cholesterol Metabolism in Psoriasis
The skin is a complex and dynamic organ where homeostasis is maintained through the intricate interplay between the immune system and metabolism,...
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Spatial multi-omics: novel tools to study the complexity of cardiovascular diseases
Spatial multi-omic studies have emerged as a promising approach to comprehensively analyze cells in tissues, enabling the joint analysis of multiple...
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Biomedical Applications: The Need for Multi-Omics
Multi-omics studies are urgently required for biomedical applications, not only because of the comprehensiveness of the omics that such multi-omics...
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Multi-Omics Data Mining Techniques: Algorithms and Software
With the aid of cost-effective next-generation sequencing technologies, the datasets with multiple dimensions, called multi-omics or integrated...
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Integrating single-cell multi-omics and prior biological knowledge for a functional characterization of the immune system
The immune system comprises diverse specialized cell types that cooperate to defend the host against a wide range of pathogenic threats. Recent...
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Identification of TACSTD2 as novel therapeutic targets for cisplatin-induced acute kidney injury by multi-omics data integration
Cisplatin-induced acute kidney injury (CP-AKI) is a common complication in cancer patients. Although ferroptosis is believed to contribute to the...
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Integrating Multi-omics Data for Alzheimer’s Disease to Explore Its Biomarkers Via the Hypergraph-Regularized Joint Deep Semi-Non-Negative Matrix Factorization Algorithm
Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative disorder. Its etiology may be associated with genetic, environmental,...
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Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance
BackgroundUncovering the functional relevance underlying verbal declarative memory (VDM) genome-wide association study (GWAS) results may facilitate...
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Multi-omics network characterization reveals novel microRNA biomarkers and mechanisms for diagnosis and subty** of kidney transplant rejection
BackgroundKidney transplantation is an optimal method for treatment of end-stage kidney failure. However, kidney transplant rejection (KTR) is...
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DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
Multi-omics data are good resources for prognosis and survival prediction; however, these are difficult to integrate computationally. We introduce...
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Single-cell multi-omics of human clonal hematopoiesis reveals that DNMT3A R882 mutations perturb early progenitor states through selective hypomethylation
Somatic mutations in cancer genes have been detected in clonal expansions across healthy human tissue, including in clonal hematopoiesis. However,...
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Multi-omics identification of an immunogenic cell death-related signature for clear cell renal cell carcinoma in the context of 3P medicine and based on a 101-combination machine learning computational framework
BackgroundClear cell renal cell carcinoma (ccRCC) is a prevalent urological malignancy associated with a high mortality rate. The lack of a reliable...
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Identification of a new gene signature for prognostic evaluation in cervical cancer: based on cuproptosis-associated angiogenesis and multi-omics analysis
Patients with recurrent or metastatic cervical cancer are in urgent need of novel prognosis assessment or treatment approaches. In this study, a...
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Multi-Omics Profiling of the Tumor Microenvironment
All solid tumors and many hematological malignancies grow and proliferate in a tumor microenvironment (TME), a spectrum of continuous and highly...
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Integrative multi-omics identifies high risk multiple myeloma subgroup associated with significant DNA loss and dysregulated DNA repair and cell cycle pathways
BackgroundDespite significant therapeutic advances in improving lives of multiple myeloma (MM) patients, it remains mostly incurable, with patients...
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Cisplatin resistance-related multi-omics differences and the establishment of machine learning models
ObjectivesPlatinum-based chemotherapies are currently the first-line treatment of non-small cell lung cancer. This study will improve our...
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Artificial intelligence in ovarian cancer drug resistance advanced 3PM approach: subtype classification and prognostic modeling
BackgroundOvarian cancer patients’ resistance to first-line treatment posed a significant challenge, with approximately 70% experiencing recurrence...
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Molecular Determinants of Antibiotic Resistance in the Costa Rican Pseudomonas aeruginosa AG1 by a Multi-omics Approach: A Review of 10 Years of Study
Pseudomonas aeruginosa AG1 (PaeAG1) is a Costa Rican strain that was isolated in 2010 in a major Hospital. This strain has resistance to multiple...
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Molecular epidemiology of pregnancy using omics data: advances, success stories, and challenges
Multi-omics approaches have been successfully applied to investigate pregnancy and health outcomes at a molecular and genetic level in several...
