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Supplemental Information 1: A dot plot of the Pearson’s correlation coefficients (PCC) for colocalization between the proteins expressed by the individual constructs and the appropriate markers used in this study

机译：补充信息1：Pearson的相关系数（PCC）的点图，用于各个构建体表达的蛋白质和本研究中使用的适当标记之间的蛋白质之间的分致化

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1. The Pearson's correlation coefficient is not a universally superior colocalization metric. Response to 'Quantifying colocalization: the MOC is a hybrid coefficient - an uninformative mix of co-occurrence and correlation' [J] . Aaron Jesse S., Taylor Aaron B., Chew Teng-Leong Journal of Cell Science . 2019,第1期

机译：Pearson的相关系数不是一个普遍优越的分层度量。响应'量化分层化：MOC是一个混合系数 - 一种不正常的共发生和相关混合'
2. The Pearson's correlation coefficient is not a universally superior colocalization metric. Response to 'Quantifying colocalization: the MOC is a hybrid coefficient - an uninformative mix of co-occurrence and correlation' [J] . Aaron Jesse S., Taylor Aaron B., Chew Teng-Leong Journal of Cell Science . 2019,第1期

机译：Pearson的相关系数不是一个普遍优越的分层度量。响应'量化分层化：MOC是一个混合系数 - 一种不正常的共发生和相关混合'
3. Fast-GPU-PCC: A GPU-Based Technique to Compute Pairwise Pearson’s Correlation Coefficients for Time Series Data—fMRI Study [J] . Taban Eslami, Fahad Saeed High-Throughput . 2018,第2期

机译：Fast-GPU-PCC：基于GPU的技术，用于计算时间序列数据的成对Pearson相关系数-fMRI研究
4. Symmetry Recurrence in protein sequence and structure with Pearson's correlation coefficients [C] . Xiaojuan Shen Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on . 2012

机译：具有Pearson相关系数的蛋白质序列和结构的对称递归
5. Use of forcing solution techniques to study the correlation of plant growth regulators with bud dormancy, subsequent rooting, in vitro responses and protein expression of forced softwood growth of woody plant species. [D] . Yang, Guochen. 1993

机译：使用强迫解技术研究植物生长调节剂与芽休眠，随后生根，体外应答以及强迫性木本植物木本植物蛋白质表达的相关性。
6. Fast-GPU-PCC: A GPU-Based Technique to Compute Pairwise Pearson’s Correlation Coefficients for Time Series Data—fMRI Study [O] . Taban Eslami, Fahad Saeed 2018

机译：Fast-GPU-PCC：基于GPU的技术用于计算时间序列数据的成对Pearson相关系数-fMRI研究
7. The Pearson's correlation coefficient is not a universally superior colocalization metric. Response to ‘Quantifying colocalization: the MOC is a hybrid coefficient – an uninformative mix of co-occurrence and correlation’ [O] . Jesse S. Aaron, Aaron B. Taylor, Teng-Leong Chew 2019

机译：Pearson的相关系数不是一个普遍优越的分层度量。响应'量化分层化：MOC是一个混合系数 - 一种不正常的共发生和相关混合'

Supplemental Information 1: A dot plot of the Pearson’s correlation coefficients (PCC) for colocalization between the proteins expressed by the individual constructs and the appropriate markers used in this study

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