Identifying hypermethylated CpG islands using a quantile regression ...
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Feb 15, 2011 · In this paper, we propose to use a quantile regression model to identify hypermethylated CGIs by incorporating probe effects to account for ...
Feb 15, 2011 · As a proof of concept, we applied this model to methylation microarray data generated from breast cancer cell lines. However, we were unsure ...
Our results show that the quantile levels ranging from 80% to 90% are better at identifying known methylated and unmethylated genes. Conclusions In this paper, ...
Feb 15, 2011 · In this paper, we propose to use a quantile regression model to identify hypermethylated CGIs by incorporating probe effects to account for ...
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Identifying hypermethylated CpG islands using a quantile regression model. ... methylation status of all known CpG islands (CGIs) using microarray technologies.
Identifying hypermethylated CpG islands using a quantile regression model. S. Sun, Z. Chen, P. Yan, Y. Huang, T. Huang, and S. Lin. BMC Bioinform., (2011 ). 1.
Oct 30, 2015 · Here we describe a methylated CpG tandems amplification and sequencing (MCTA-Seq) method that can detect thousands of hypermethylated CpG ...
Missing: quantile | Show results with:quantile
Sun et al. [26] proposed to use QR to identify hypermethylated CpG islands (CGIs) that can be associated with breast and ovarian cancer. They concluded that the ...
In this study, we highlight the potential of hypermethylated CpG islands in cancer detection and classification. Currently, most cfDNA methylation profiling ...
Missing: quantile | Show results with:quantile
May 6, 2021 · Here, we investigated the clinical performance of two differentially methylated regions (DMRs) in SDC2 CpG islands for the detection of CRC. A ...
Missing: quantile | Show results with:quantile