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Key issues in conducting a meta-analysis of gene expression microarray datasets.
Published 2008-09-01Get full text
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Update on recent hot issues and progress of acute kidney injury
Published 2022-12-01Get full text
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Microarray-Based Cancer Diagnosis with Artificial Neural Networks
Published 2003-03-01Get full text
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification
Published 2025-01-01“… Microarray-based cancer biomarker detection is one of the popular trends for cancer classification. …”
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Phosphoribosyl transferase domain containing 1: A prognostic biomarker in testicular germ cell tumors
Published 2025-06-01Get full text
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Moderate degradation does not preclude microarray analysis of small amounts of RNA
Published 2003-12-01“…The quality of RNA preparations from such samples constitutes a frequent issue in this context. The aim of this study was to assess the impact of different extents of RNA degradation on the expression profile of the samples. …”
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Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology
Published 2024-11-01“…Abstract 10X Visium, a popular Spatial transcriptomics (ST) method, faces limited adoption due to its high cost and restricted sample usage per slide. To address these issues, we propose Microarray Integrated Spatial Transcriptomics (MIST), combining conventional tissue microarray (TMA) with Visium, using laser-cutting and 3D printing to enhance slide throughput. …”
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Chromosomal microarray on product of conception in early pregnancy loss: A case report
Published 2023-01-01“…Conclusion: Failure of the culture of POC especially in very early pregnancy loss is a common issue along with maternal and microbe contamination. …”
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Microarray Data Analysis: From Hypotheses to Conclusions Using Gene Expression Data
Published 2004-01-01“…We review several commonly used methods for the design and analysis of microarray data. To begin with, some experimental design issues are addressed. …”
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Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction
Published 2012-01-01“…Although microarrays have increased the rate of genomic data collection, sample size is still a major issue when identifying informative genetic biomarkers. …”
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection
Published 2025-01-01“…Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of genes simultaneously. …”
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Integrated Use of Statistical-Based Approaches and Computational Intelligence Techniques for Tumors Classification Using Microarray
Published 2015-01-01“…With the recent development of biotechnologies, cDNA microarray chips are increasingly applied in cancer research. …”
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Identification of Specific microRNAs in Adipose Tissue Affected by Lipedema
Published 2024-10-01Get full text
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Deconvolution of expression microarray data reveals 131I-induced responses otherwise undetected in thyroid tissue.
Published 2018-01-01“…In this study, we deconvolved microarray data from thyroid tissue in order to assess possible bias from mixed cell type data. …”
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Evaluation of the performance of two carbodiimide-based cyanine dyes for detecting changes in mRNA expression with DNA microarrays
Published 2005-05-01“…Microarrays have been extensively used to investigate genome-wide expression patterns. …”
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Unlocking breast cancer in Brazilian public health system: Using tissue microarray for accurate immunohistochemical evaluation with limitations in subtyping
Published 2025-01-01“…In 97% of these, TMA reached high quality to adequate IHC scoring with minimal technical issues. Inter-examiner agreement was almost perfect for all markers (ranging from 0.85 for HER2 to 0.91 for ER, p < 0.001). …”
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Identification and Validation of Key Biomarkers in the Proximal Aqueous Humor Outflow Pathway
Published 2025-02-01Get full text
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