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Published in 2022 at "Molecular oncology"
DOI: 10.1002/1878-0261.13293
Abstract: Carcinoma of unknown primary (CUP) is a difficult-to-manage malignancy. Multi-omic profiles and treatment outcome versus degree of precision matching was assessed. Tumors underwent next-generation sequencing (NGS) [tissue and/or blood-derived cell-free DNA (cfDNA)]. Selected patients had…
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Keywords:
cup;
unknown primary;
multi omic;
analysis ... See more keywords
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Published in 2023 at "Autism Research"
DOI: 10.1002/aur.2915
Abstract: Children born preterm are at heightened risk of neurodevelopmental impairments, including Autism Spectrum Disorder (ASD). The placenta is a key regulator of neurodevelopmental processes, though the precise underlying molecular mechanisms remain unclear. Here, we employed…
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Keywords:
functional epimutations;
multi omic;
born preterm;
omic approach ... See more keywords
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Published in 2021 at "Comprehensive Physiology"
DOI: 10.1002/cphy.c210010
Abstract: Metabolic syndrome (MetS) is a highly heritable disease and a major public health burden worldwide. MetS diagnosis criteria are met by the simultaneous presence of any three of the following: high triglycerides, low HDL/high LDL…
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Keywords:
complex disease;
omic approaches;
approaches identify;
disease ... See more keywords
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Published in 2023 at "Journal of medical virology"
DOI: 10.1002/jmv.28845
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiological pathogen of coronavirus disease 2019 (COVID-19), a highly contagious disease, spreading quickly and threatening global public health. The symptoms of COVID-19 vary from mild reactions…
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Keywords:
multi omic;
defensin;
infection;
severity ... See more keywords
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Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c00676
Abstract: The importance of multi-omic-based approaches to better understand diverse pathological mechanisms including neurodegenerative diseases has emerged. Spatial information can be of great help in understanding how biomolecules interact pathologically and in elucidating target biomarkers for…
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Keywords:
information;
multi omic;
mass spectrometry;
omic approach ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-70786-5
Abstract: Tendinopathy accounts for over 30% of primary care consultations and represents a growing healthcare challenge in an active and increasingly ageing population. Recognising critical cells involved in tendinopathy is essential in developing therapeutics to meet…
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Keywords:
single cell;
analysis;
human tendon;
tendon ... See more keywords
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Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-05152-8
Abstract: Cancer biomarker discovery is critically dependent on the integrity of biofluid and tissue samples acquired from study participants. Multi-omic profiling of candidate protein, lipid, and metabolite biomarkers is confounded by timing and fasting status of…
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Keywords:
biomarker;
medicine;
hemolysis;
biomarker discovery ... See more keywords
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Published in 2021 at "Bioscience Reports"
DOI: 10.1042/bsr20211241
Abstract: Abstract Hepatocellular carcinoma (HCC) is a common malignant tumor worldwide, but effective immunotherapy is still limited for those affected. Therefore, there is an urgent need to explore the specific mechanisms governing tumor immunity to improve…
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Keywords:
hepatocellular carcinoma;
multi omic;
omic analyses;
gene ... See more keywords
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Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa500
Abstract: MOTIVATION One of the main challenges in applying graph convolutional neural networks on gene-interaction data is the lack of understanding of the vector space to which they belong, and also the inherent difficulties involved in…
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Keywords:
omic data;
isom gsn;
gene similarity;
multi omic ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac190
Abstract: MOTIVATION LIGER (Linked Inference of Genomic Experimental Relationships) is a widely used R package for single-cell multi-omic data integration. However, many users prefer to analyze their single-cell datasets in Python, which offers an attractive syntax…
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Keywords:
cell;
multi omic;
data integration;
single cell ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac631
Abstract: MOTIVATION Cells respond to environments by regulating gene expression to exploit resources optimally. Recent advances in technologies allow measuring the abundances of transcripts, proteins, lipids and metabolites. These highly complex datasets reflect the state of…
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Keywords:
multi omic;
integration;
https;
machine learning ... See more keywords