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dna methylation data derived from whole blood samples assayed using the illumina 450k array  (Illumina Inc)


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    Illumina Inc dna methylation data derived from whole blood samples assayed using the illumina 450k array
    Dna Methylation Data Derived From Whole Blood Samples Assayed Using The Illumina 450k Array, supplied by Illumina Inc, 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/array+methylation+data/illumina+arrays/med_rxiv__2025__07__14__25331527-48-19-19
    Average 90 stars, based on 1 article reviews
    dna methylation data derived from whole blood samples assayed using the illumina 450k array - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Methylation:

    Article Title: GBX2 Methylation Is a Novel Prognostic Biomarker and Improves Prediction of Biochemical Recurrence Among Patients with Prostate Cancer Negative for Intraductal Carcinoma and Cribriform Architecture.
    Article Snippet: a Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada; b Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Departments of Surgery and Surgical Oncology, Division of Urology, University Health Network, Toronto, Canada; Department of Pathology and Laboratory Medicine, University Health Network, Toronto, Canada

    Article Title: Rapid Classification of Sarcomas Using Methylation Fingerprint: A Pilot Study.
    Article Snippet: .. Previous studies have established the validity of methylation-based classification using Illumina Array methylation data, particularly in sarcomas and CNS tumors [8,14]. .. Illumina Array has limitations such as GC bias, time-consuming procedures, and reliance on central high-volume laboratories.

    Article Title: Gene-based genetic association test with adaptive optimal weights.
    Article Snippet: Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, United States of America Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, United States of America The Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China Department of Computer Science, Sam Houston State University, Huntsville, Texas, United States of America Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, United States of America Correspondence Zhongxue Chen, Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, 1025 E. 7th street, Bloomington, IN 47405, USA.. Email: zc3@indiana.edu ABSTRACT It is well known that using proper weights for genetic variants is crucial in enhancing the power of geneor pathway-based association tests.. To increase the power, we propose a general approach that adaptively selects weights among a class of weight families and apply it to the popular sequencing kernel association test.

    Article Title: Detecting differentially methylated loci for multiple treatments based on high-throughput methylation data
    Article Snippet: .. Noticing that the age is associated with methylation level and the methylation data are not normally distributed, in this paper, we propose a nonparametric method to detect differentially methylated loci under multiple conditions with trend for Illumina Array Methylation data. ..

    Article Title: Detecting differentially methylated loci for Illumina Array methylation data based on human ovarian cancer data
    Article Snippet: .. Furthermore, we want to point out that there are many other methods can be used to combine p-values [ , ]; it may also be possible to find a more powerful method to combine p-values for Illumina Array Methylation data. ..

    Article Title: Detecting differentially methylated loci for Illumina Array methylation data based on human ovarian cancer data
    Article Snippet: .. Due to the unique feature of the Illumina Array Methylation data, commonly used statistical tests will lose power or give misleading results. ..

    Article Title: Cancer detection methods
    Article Snippet: .. Moreover, the methylation trends are similar to the ILLUMINA array methylation data generated by the ENCODE Consortium for K562 and GM12878 cell lines at four probes in this same region (FIGS. ..

    Article Title: Rapid Classification of Sarcomas Using Methylation Fingerprint: A Pilot Study
    Article Snippet: .. Previous studies have established the validity of methylation-based classification using Illumina Array methylation data, particularly in sarcomas and CNS tumors [ , ]. .. Illumina Array has limitations such as GC bias, time-consuming procedures, and reliance on central high-volume laboratories.

    Biomarker Discovery:

    Article Title: GBX2 Methylation Is a Novel Prognostic Biomarker and Improves Prediction of Biochemical Recurrence Among Patients with Prostate Cancer Negative for Intraductal Carcinoma and Cribriform Architecture.
    Article Snippet: a Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada; b Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Departments of Surgery and Surgical Oncology, Division of Urology, University Health Network, Toronto, Canada; Department of Pathology and Laboratory Medicine, University Health Network, Toronto, Canada

    Control:

    Article Title: Gene-based genetic association test with adaptive optimal weights.
    Article Snippet: Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, United States of America Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, United States of America The Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China Department of Computer Science, Sam Houston State University, Huntsville, Texas, United States of America Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, United States of America Correspondence Zhongxue Chen, Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, 1025 E. 7th street, Bloomington, IN 47405, USA.. Email: zc3@indiana.edu ABSTRACT It is well known that using proper weights for genetic variants is crucial in enhancing the power of geneor pathway-based association tests.. To increase the power, we propose a general approach that adaptively selects weights among a class of weight families and apply it to the popular sequencing kernel association test.

    Generated:

    Article Title: Cancer detection methods
    Article Snippet: .. Moreover, the methylation trends are similar to the ILLUMINA array methylation data generated by the ENCODE Consortium for K562 and GM12878 cell lines at four probes in this same region (FIGS. ..



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