Articles with "multiomics data" as a keyword



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Role of Multiomics Data to Understand Host–Pathogen Interactions in COVID-19 Pathogenesis

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Published in 2021 at "Journal of Proteome Research"

DOI: 10.1021/acs.jproteome.0c00771

Abstract: Human infectious diseases are contributed equally by the host immune system’s efficiency and any pathogens’ infectivity. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the coronavirus strain causing the respiratory pandemic coronavirus disease 2019 (COVID-19).… read more here.

Keywords: pathogen; data understand; role multiomics; host ... See more keywords
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A new thinking: extended application of genomic selection to screen multiomics data for development of novel hypoxia-immune biomarkers and target therapy of clear cell renal cell carcinoma.

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Published in 2021 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbab173

Abstract: Increasing evidences show the clinical significance of the interaction between hypoxia and immune in clear cell renal cell carcinoma (ccRCC) microenvironment. However, reliable prognostic signatures based on a combination of hypoxia and immune have not… read more here.

Keywords: cell; hypoxia immune; clear cell; multiomics data ... See more keywords
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JSNMF enables effective and accurate integrative analysis of single-cell multiomics data

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Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac105

Abstract: The single-cell multiomics technologies provide an unprecedented opportunity to study the cellular heterogeneity from different layers of transcriptional regulation. However, the datasets generated from these technologies tend to have high levels of noise, making data… read more here.

Keywords: cell multiomics; jsnmf; cell; multiomics data ... See more keywords
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A Multiview Clustering Method with Low-Rank and Sparsity Constraints for Cancer Subtyping.

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Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2021.3122917

Abstract: Multiomics data clustering is one of the major challenges in the field of precision medicine. Integration of multiomics data for cancer subtyping can improve the understanding on cancer and reveal systems-level insights. How to integrate… read more here.

Keywords: multiomics data; multiview clustering; cancer subtyping; low rank ... See more keywords
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DIRECT-NET: An efficient method to discover cis-regulatory elements and construct regulatory networks from single-cell multiomics data

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Published in 2022 at "Science Advances"

DOI: 10.1126/sciadv.abl7393

Abstract: The emergence of single-cell multiomics data provides unprecedented opportunities to scrutinize the transcriptional regulatory mechanisms controlling cell identity. However, how to use those datasets to dissect the cis-regulatory element (CRE)–to–gene relationships at a single-cell level… read more here.

Keywords: cell multiomics; multiomics data; cell; direct net ... See more keywords
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Establishment of a Prognostic Prediction and Drug Selection Model for Patients with Clear Cell Renal Cell Carcinoma by Multiomics Data Analysis

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Published in 2022 at "Oxidative Medicine and Cellular Longevity"

DOI: 10.1155/2022/3617775

Abstract: Methods This study was based on the multiomics data (including mRNA, lncRNA, miRNA, methylation, and WES) of 258 ccRCC patients from TCGA database. Firstly, we screened the feature values that had impact on the prognosis… read more here.

Keywords: multiomics data; ccrcc patients; two subtypes; analysis ... See more keywords
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Prediction of New Risk Genes and Potential Drugs for Rheumatoid Arthritis from Multiomics Data

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Published in 2022 at "Computational and Mathematical Methods in Medicine"

DOI: 10.1155/2022/6783659

Abstract: Rheumatoid arthritis (RA) is an autoimmune and inflammatory disease for which there is a lack of therapeutic options. Genome-wide association studies (GWASs) have identified over 100 genetic loci associated with RA susceptibility; however, the most… read more here.

Keywords: multiomics data; rheumatoid arthritis; risk genes; risk ... See more keywords
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Integrated Analysis of Multiomics Data Identified Molecular Subtypes and Oxidative Stress-Related Prognostic Biomarkers in Glioblastoma Multiforme

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Published in 2022 at "Oxidative Medicine and Cellular Longevity"

DOI: 10.1155/2022/9993319

Abstract: Glioblastoma multiforme (GBM) is a glioma in IV stage, which is one of the most common primary malignant brain tumors in adults. GBM has the characters of high invasiveness, high recurrence rate, and low survival… read more here.

Keywords: multiomics data; molecular subtypes; oxidative stress; gbm ... See more keywords
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Phenomics and Robust Multiomics Data for Cardiovascular Disease Subtyping.

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Published in 2023 at "Arteriosclerosis, thrombosis, and vascular biology"

DOI: 10.1161/atvbaha.122.318892

Abstract: The complex landscape of cardiovascular diseases encompasses a wide range of related pathologies arising from diverse molecular mechanisms and exhibiting heterogeneous phenotypes. This variety of manifestations poses significant challenges in the development of treatment strategies.… read more here.

Keywords: multiomics data; phenomics robust; disease subtyping; cardiovascular disease ... See more keywords
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iPoLNG—An unsupervised model for the integrative analysis of single-cell multiomics data

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Published in 2023 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2023.998504

Abstract: Single-cell multiomics technologies, where the transcriptomic and epigenomic profiles are simultaneously measured in the same set of single cells, pose significant challenges for effective integrative analysis. Here, we propose an unsupervised generative model, iPoLNG, for… read more here.

Keywords: cell multiomics; multiomics data; cell; single cell ... See more keywords
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Improving the Diagnostic Potential of Extracellular miRNAs Coupled to Multiomics Data by Exploiting the Power of Artificial Intelligence

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Published in 2022 at "Frontiers in Microbiology"

DOI: 10.3389/fmicb.2022.888414

Abstract: In recent years, the clinical use of extracellular miRNAs as potential biomarkers of disease has increasingly emerged as a new and powerful tool. Serum, urine, saliva and stool contain miRNAs that can exert regulatory effects… read more here.

Keywords: multiomics data; coupled multiomics; artificial intelligence; extracellular mirnas ... See more keywords