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metabric dna microarray datasets  (Thermo Fisher)


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    Structured Review

    Thermo Fisher metabric dna microarray datasets
    Metabric Dna Microarray Datasets, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/dna+microarray+datasets/DNA/pm41686639-557-27-26
    Average 99 stars, based on 1 article reviews
    metabric dna microarray datasets - by Bioz Stars, 2026-09
    99/100 stars

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    Related Articles

    Expressing:

    Article Title: An aldehyde dehydrogenase 1A3 inhibitor attenuates the metastasis of human colorectal cancer.
    Article Snippet: Metastasis is the leading cause of death for patients with colorectal cancer (CRC).. The development of therapeutic regimens that selectively inhibit the biological processes involved in CRC cell dissemination is important.. We used multiple Affymetrix DNA microarray hybridization datasets to identify genes related to metastasis and have significant prognostic value for patients with CRC.

    Article Title: SGCP: a spectral self-learning method for clustering genes in co-expression networks.
    Article Snippet: .. We note that raw DNA-microarray datasets are normalized using robust multiarray analysis (RMA) [26] which is the most popular preprocessing step for Affymetrix [27] expression arrays data [28]. ..

    Article Title: SGCP: a spectral self-learning method for clustering genes in co-expression networks
    Article Snippet: .. We note that raw DNA-microarray datasets are normalized using robust multiarray analysis (RMA) [ ] which is the most popular preprocessing step for Affymetrix [ ] expression arrays data [ ]. ..

    Article Title: [2209.10545] SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
    Article Snippet: .. We note that raw DNA-microarray datasets are normalized using robust multiarray analysis (RMA) [21] which is the most popular preprocessing step for Affymetrix [32] expression arrays data [34]. ..

    Microarray:

    Article Title: An aldehyde dehydrogenase 1A3 inhibitor attenuates the metastasis of human colorectal cancer.
    Article Snippet: Metastasis is the leading cause of death for patients with colorectal cancer (CRC).. The development of therapeutic regimens that selectively inhibit the biological processes involved in CRC cell dissemination is important.. We used multiple Affymetrix DNA microarray hybridization datasets to identify genes related to metastasis and have significant prognostic value for patients with CRC.

    Article Title: Identification of lncRNA ZNF252P-AS1 as a novel diagnostic and prognostic biomarker for breast cancer patients: An integrated bioinformatics and experimental analysis.
    Article Snippet: Background: Long non-coding RNAs (lncRNAs) have emerged as useful diagnostic and prognostic markers as well as therapeutic targets in cancer.. Dysregulated levels of lncRNAs have been described in various cancers including breast cancer (BC).. Our study aims to screen novel lncRNAs involved in BC and investigate any possible role in helping diagnosis and determining prognosis of BC patients.

    RNA Sequencing:

    Article Title: Identification of lncRNA ZNF252P-AS1 as a novel diagnostic and prognostic biomarker for breast cancer patients: An integrated bioinformatics and experimental analysis.
    Article Snippet: Background: Long non-coding RNAs (lncRNAs) have emerged as useful diagnostic and prognostic markers as well as therapeutic targets in cancer.. Dysregulated levels of lncRNAs have been described in various cancers including breast cancer (BC).. Our study aims to screen novel lncRNAs involved in BC and investigate any possible role in helping diagnosis and determining prognosis of BC patients.

    Gene Expression:

    Article Title: Identification of lncRNA ZNF252P-AS1 as a novel diagnostic and prognostic biomarker for breast cancer patients: An integrated bioinformatics and experimental analysis.
    Article Snippet: Background: Long non-coding RNAs (lncRNAs) have emerged as useful diagnostic and prognostic markers as well as therapeutic targets in cancer.. Dysregulated levels of lncRNAs have been described in various cancers including breast cancer (BC).. Our study aims to screen novel lncRNAs involved in BC and investigate any possible role in helping diagnosis and determining prognosis of BC patients.



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    Image Search Results


    Low-dimensional representation of variable DNA methylation sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Low-dimensional representation of variable DNA methylation sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay

    Analytic table of  DNA   methylation  samples used for deconvolution reference.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Analytic table of DNA methylation samples used for deconvolution reference.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay, Fluorescence

    Placental cell type differential DNA methylation. Volcano plots comparing site-specific DNA methylation levels in one cell type against the average across all other cell types.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Placental cell type differential DNA methylation. Volcano plots comparing site-specific DNA methylation levels in one cell type against the average across all other cell types.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay

    Top differentially methylated sites unique to the five placental cell types (cytotrophoblast, endothelial, Hofbauer, stromal, and syncytiotrophoblast) and nucleated red blood cells with gene annotations reveal highly specific DNA methylation profiles by cell type.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Top differentially methylated sites unique to the five placental cell types (cytotrophoblast, endothelial, Hofbauer, stromal, and syncytiotrophoblast) and nucleated red blood cells with gene annotations reveal highly specific DNA methylation profiles by cell type.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: Methylation, DNA Methylation Assay

    Summary graphs of the root mean square error of prediction in the ability to model principal components of DNA methylation in 204 placenta dataset GSE232778 for our expanded reference versus the existing reference implemented in planet from 1,000 repeats of a 10-fold cross-validation linear regression model with estimated cell composition as the predictor variables.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Summary graphs of the root mean square error of prediction in the ability to model principal components of DNA methylation in 204 placenta dataset GSE232778 for our expanded reference versus the existing reference implemented in planet from 1,000 repeats of a 10-fold cross-validation linear regression model with estimated cell composition as the predictor variables.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay, Biomarker Discovery