-085982 arraystar human lncrna v5 microarray (Agilent technologies)
Structured Review

085982 Arraystar Human Lncrna V5 Microarray, supplied by Agilent technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/arraystar+human+lncrna+v5+microarray/pmc09088964-36-8-9
Average 90 stars, based on 1 article reviews
Images
1) Product Images from "Weighted Gene Co-Expression Network Analysis to Identify Potential Biological Processes and Key Genes in COVID-19-Related Stroke"
Article Title: Weighted Gene Co-Expression Network Analysis to Identify Potential Biological Processes and Key Genes in COVID-19-Related Stroke
Journal: Oxidative Medicine and Cellular Longevity
doi: 10.1155/2022/4526022
Figure Legend Snippet: Data collection.
Techniques Used:
Related Articles
Generated:Article Title: Screening the Potential Biomarkers of COVID-19-Related Thrombosis Through Bioinformatics Analysis Article Snippet: This dataset excluded patients with antiphospholipid syndrome and cancer and was generated using the GPL571 [HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array. .. The GSE164805 dataset included 10 patients diagnosed with COVID-19 and 5 healthy controls and was generated using the Microarray:Article Title: Screening the Potential Biomarkers of COVID-19-Related Thrombosis Through Bioinformatics Analysis Article Snippet: This dataset excluded patients with antiphospholipid syndrome and cancer and was generated using the GPL571 [HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array. .. The GSE164805 dataset included 10 patients diagnosed with COVID-19 and 5 healthy controls and was generated using the Article Title: Small Volatile Inhibitors Targeting LncRNA in Radioresistant Non-small Cell Lung Cancer Article Snippet: .. The microarray used a other:Article Title: Weighted Gene Co-Expression Network Analysis to Identify Potential Biological Processes and Key Genes in COVID-19-Related Stroke Article Snippet: The GSE164805 dataset, which is based on the |
