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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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Clinical Prognostic Factors and Integrated Multi-Omics Studies Identify Potential Novel Therapeutic Targets for Pediatric Desmoid Tumor
BackgroundDesmoid tumor (DT), also known as desmoid-type fibromatosis (DTF) or aggressive fibromatosis (AF) is a rare mesenchymal tumor affecting...
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Integrated omics analyses clarifies ATRX copy number variant of uncertain significance
Partial duplications of genes can be challenging to detect and interpret and, therefore, likely represent an underreported cause of human disease....
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Omics-based molecular classifications empowering in precision oncology
BackgroundIn the past decades, cancer enigmatical heterogeneity at distinct expression levels could interpret disparities in therapeutic response and...
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Omics Applications in Cancer Immunology
Recent technological advances in molecular biology have led to great progress in the knowledge of structure and function of cells and their main...
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Introduction to Multi-Omics
The rapid development of technologies and informatics tools for producing and interpreting massive biological data sets (omics data) has resulted in...
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Deciphering the omicron variant: integrated omics analysis reveals critical biomarkers and pathophysiological pathways
BackgroundThe rapid emergence and global dissemination of the Omicron variant of SARS-CoV-2 have posed formidable challenges in public health. This...
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Multi-omics Approach Towards Cancer Therapy
Cancer remains a significant global challenge, with early diagnosis recognized as the most effective treatment approach. It is a complex disorder...
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Deciphering chloramphenicol biotransformation mechanisms and microbial interactions via integrated multi-omics and cultivation-dependent approaches
BackgroundAs a widely used broad-spectrum antibiotic, chloramphenicol is prone to be released into environments, thus resulting in the disturbance of...
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Characterizing neuroinflammation and identifying prenatal diagnostic markers for neural tube defects through integrated multi-omics analysis
BackgroundNeural Tube Defects (NTDs) are congenital malformations of the central nervous system resulting from the incomplete closure of the neural...
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-Omics Technologies and Big Data
Biomedicine has entered the era of big data as modern diagnostic tools provide information on the -omics scale (genomics, proteomics, imaging,…)....
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Advances in single-cell omics and multiomics for high-resolution molecular profiling
Single-cell omics technologies have revolutionized molecular profiling by providing high-resolution insights into cellular heterogeneity and...
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Multi-omics and immune cells’ profiling of COVID-19 patients for ICU admission prediction: in silico analysis and an integrated machine learning-based approach in the framework of Predictive, Preventive, and Personalized Medicine
BackgroundIntensive care unit admission (ICUA) triage has been urgent need for solving the shortage of ICU beds, during the coronavirus disease 2019...
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Design of Bioengineered Peptides/Proteases as Anti-cancer Reagents with Integrated Omics and Machine Learning Approaches
Cancer is a heterogeneous disorder of uncontrolled growth of cells, which has proven to be a major burden worldwide. Many treatment options are...
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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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Multimodal Omics Approaches to Aging and Age-Related Diseases
Aging is associated with a progressive decline in physiological capacities and an increased risk of aging-associated disorders. An increasing body of...
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Spatial multi-omics at subcellular resolution via high-throughput in situ pairwise sequencing
Technology for spatial multi-omics aids the discovery of new insights into cellular functions and disease mechanisms. Here we report the development...
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Challenges and best practices in omics benchmarking
Technological advances enabling massively parallel measurement of biological features — such as microarrays, high-throughput sequencing and mass...
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Integration of pan-omics technologies and three-dimensional in vitro tumor models: an approach toward drug discovery and precision medicine
Despite advancements in treatment protocols, cancer is one of the leading cause of deaths worldwide. Therefore, there is a need to identify newer and...
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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...