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rat_230-2 microarray data (cel files  (Thermo Fisher)


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    Thermo Fisher rat_230-2 microarray data (cel files
    Rat 230 2 Microarray Data (Cel Files, supplied by Thermo Fisher, 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/microarray+cel+data+files/pm36523256-137-0-2
    Average 90 stars, based on 1 article reviews
    rat_230-2 microarray data (cel files - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Identification of regulatory network and potential drugs in spinal cord injury based on comprehensive bioinformatics analysis
    Article Snippet: Gene expression was measured using the Affymetrix Rat Genome 230 2.0 Array (Rat230_2) platform, sourced from the Gene Expression Omnibus (GEO) database (accession number: GSE69334)15.

    Article Title: Comparison of Rat Hepatocyte 2D-Monocultures and Hepatocytes Non-Parenchymal Cell Co-Cultures for Assessing Chemical Toxicity.
    Article Snippet: Liver responses are the most common endpoints used as the basis for setting exposure standards.. Liver hepatocytes play a vital role in biotransformation of xenobiotics, but non-parenchymal cells (NPCs) in the liver are also involved in certain liver responses.. Development of in vitro systems that more faithfully capture liver responses to reduce reliance on animals is a major focus of NewApproach Methodology (NAMs).

    Article Title: Mural granulosa cell gene expression associated with oocyte developmental competence
    Article Snippet: Gene expression patterns were determined using Affymetrix Genechip Arrays Rat 230.2.

    Article Title: AbsIDconvert: An absolute approach for converting genetic identifiers at different granularities
    Article Snippet: Affymetrix Rat230_2 , 5.6 , 3.2 , 4.1 , 7.6 , 3.2 , 3.3 , 33 , 47.6.

    Article Title: High-Throughput Analysis of Ovarian Granulosa Cell Transcriptome
    Article Snippet: Rat , Mural granulosa cells from normal developmental competence oocyte-collected follicles (NDC) , 4 samples , Affymetrix GeneChip arrays Rat 230.2. , Lox, Ngfrap1 ↑ Ggbt2 ↓ in NDC versus PDC , Jiang et al., 2010 [ ] .

    Generated:

    Article Title: Linking Fatty Acid Metabolism to Diabetic Cardiomyopathy: The Role of Mitochondrial Dysfunction and Immune Microenvironment Alterations, a Bioinformatics Approach
    Article Snippet: .. The GSE5606 dataset, generated by the GPL1355 platform using the [Rat230_2] Affymetrix Rat Genome 230 2.0 Array, comprises 14 left ventricular (LV) samples obtained from DCM mice (n = 7) and CON mice (n = 7)[21]. .. The GSE99203 dataset, which utilizes the Agilent-028282 Whole Rat Genome Microarray 4x44K v3 platform (GPL14745), consists of 6 LV samples obtained from DCM mice (n = 3) and CON mice (n = 3)[22].



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    Thermo Fisher microarray cel data files
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    Biotechnology Information microarray raw data (.cel files) and processed data
    Gene expression dataset . A) The gene expression dataset analyzed comprises cell samples from different levels of myeloid differentiation process (stem/progenitor cells, precursors and terminally differentiated cells). The graph describes relationships between the cellular contexts analyzed within myeloid differentiation tree. For each cell type, the number of samples examined with independent <t>microarray</t> experiments is indicated in brackets. B) Dendrogram obtained by unsupervised hierarchical clustering on gene expression data matrix. Pearson correlation and average were used as similarity measure and linking method, respectively.
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    Gene expression dataset . A) The gene expression dataset analyzed comprises cell samples from different levels of myeloid differentiation process (stem/progenitor cells, precursors and terminally differentiated cells). The graph describes relationships between the cellular contexts analyzed within myeloid differentiation tree. For each cell type, the number of samples examined with independent microarray experiments is indicated in brackets. B) Dendrogram obtained by unsupervised hierarchical clustering on gene expression data matrix. Pearson correlation and average were used as similarity measure and linking method, respectively.

    Journal: BMC Genomics

    Article Title: Genomic expression during human myelopoiesis

    doi: 10.1186/1471-2164-8-264

    Figure Lengend Snippet: Gene expression dataset . A) The gene expression dataset analyzed comprises cell samples from different levels of myeloid differentiation process (stem/progenitor cells, precursors and terminally differentiated cells). The graph describes relationships between the cellular contexts analyzed within myeloid differentiation tree. For each cell type, the number of samples examined with independent microarray experiments is indicated in brackets. B) Dendrogram obtained by unsupervised hierarchical clustering on gene expression data matrix. Pearson correlation and average were used as similarity measure and linking method, respectively.

    Article Snippet: In particular, raw microarray data (Affymetrix .CEL files) were obtained for a total of 24 samples from 8 different cell types of all myelopoietic lineages, representing a reference dataset for a comprehensive analysis of genomic expression during cell differentiation.

    Techniques: Expressing, Microarray