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PLIER究竟是做什么的？

What does PLIER really do?

作者信息

Therneau Terry M, Ballman Karla V

机构信息

Division of Biostatistics, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.

出版信息

Cancer Inform. 2008;6:423-31. Epub 2008 Aug 27.

PMID:19259420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2623311/
Abstract

MOTIVATION

Our goal was to understand why the PLIER algorithm performs so well given its derivation is based on a biologically implausible assumption.

RESULTS

In spite of a non-intuitive assumption regarding the PM and MM errors made as part of the derivation for PLIER, the resulting probe level error function does capture the key characteristics of the ideal error function, assuming MM probes only measure non-specific binding and no signal.

摘要

动机

我们的目标是弄清楚为什么PLIER算法尽管其推导基于一个生物学上不太合理的假设，但却表现得如此出色。

结果

尽管在PLIER推导过程中对PM和MM误差做出了一个非直观的假设，即假设MM探针仅测量非特异性结合且无信号，但由此产生的探针水平误差函数确实捕捉到了理想误差函数的关键特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/e49f676d6a33/cin-6-0423f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/c8cda8a037b0/cin-6-0423f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/83938649fecd/cin-6-0423f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/b8959c97fdb9/cin-6-0423f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/4305dd7798cb/cin-6-0423f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/e49f676d6a33/cin-6-0423f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/c8cda8a037b0/cin-6-0423f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/83938649fecd/cin-6-0423f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/b8959c97fdb9/cin-6-0423f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/4305dd7798cb/cin-6-0423f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/2623311/e49f676d6a33/cin-6-0423f5.jpg

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