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Biotechnology Information non-coding rna microarray dataset
Volcano plot of <t>microarray</t> differentially expressed miRNAs. MiRNAs colored in purple were downregulated, and those colored in green were upregulated in HCC samples compared to cirrhotic HCV samples. The filtering criterion was adjusted using a log 2 fold change cutoff of 1.5 and an adjusted p -value cutoff of 0.01. (GEO: Gene expression omnibus, HCC: Hepatocellular carcinoma).
Non Coding Rna Microarray Dataset, supplied by Biotechnology Information, 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/result/non-coding rna microarray dataset/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
non-coding rna microarray dataset - by Bioz Stars, 2026-03
90/100 stars

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1) Product Images from "Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation"

Article Title: Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation

Journal: Cancers

doi: 10.3390/cancers14133036

Volcano plot of microarray differentially expressed miRNAs. MiRNAs colored in purple were downregulated, and those colored in green were upregulated in HCC samples compared to cirrhotic HCV samples. The filtering criterion was adjusted using a log 2 fold change cutoff of 1.5 and an adjusted p -value cutoff of 0.01. (GEO: Gene expression omnibus, HCC: Hepatocellular carcinoma).
Figure Legend Snippet: Volcano plot of microarray differentially expressed miRNAs. MiRNAs colored in purple were downregulated, and those colored in green were upregulated in HCC samples compared to cirrhotic HCV samples. The filtering criterion was adjusted using a log 2 fold change cutoff of 1.5 and an adjusted p -value cutoff of 0.01. (GEO: Gene expression omnibus, HCC: Hepatocellular carcinoma).

Techniques Used: Microarray, Gene Expression



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Biotechnology Information non-coding rna microarray dataset
Volcano plot of <t>microarray</t> differentially expressed miRNAs. MiRNAs colored in purple were downregulated, and those colored in green were upregulated in HCC samples compared to cirrhotic HCV samples. The filtering criterion was adjusted using a log 2 fold change cutoff of 1.5 and an adjusted p -value cutoff of 0.01. (GEO: Gene expression omnibus, HCC: Hepatocellular carcinoma).
Non Coding Rna Microarray Dataset, supplied by Biotechnology Information, 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/result/non-coding rna microarray dataset/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
non-coding rna microarray dataset - by Bioz Stars, 2026-03
90/100 stars
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Volcano plot of microarray differentially expressed miRNAs. MiRNAs colored in purple were downregulated, and those colored in green were upregulated in HCC samples compared to cirrhotic HCV samples. The filtering criterion was adjusted using a log 2 fold change cutoff of 1.5 and an adjusted p -value cutoff of 0.01. (GEO: Gene expression omnibus, HCC: Hepatocellular carcinoma).

Journal: Cancers

Article Title: Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation

doi: 10.3390/cancers14133036

Figure Lengend Snippet: Volcano plot of microarray differentially expressed miRNAs. MiRNAs colored in purple were downregulated, and those colored in green were upregulated in HCC samples compared to cirrhotic HCV samples. The filtering criterion was adjusted using a log 2 fold change cutoff of 1.5 and an adjusted p -value cutoff of 0.01. (GEO: Gene expression omnibus, HCC: Hepatocellular carcinoma).

Article Snippet: To identify the target miRNAs panel, bioinformatic analysis was performed on a non-coding RNA microarray dataset (GSE40744) deposited on the National Center for Biotechnology Information—Gene expression omnibus (NCBI-GEO) repository [ ].

Techniques: Microarray, Gene Expression