We used R 4.2.2 to run GAPIT and performed association analyses between multiple phenotypes and SNP data with the BLINK model. For one phenotype, however, the output is hard to interpret. I have ...

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ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...

I run the linear mixed model using k-mers as a variant. k-mer were filtered to retain that appeared in 5-95%. A final threshold is 3.80E-08, but in the significant k-mer I got K-mers with note ...

Identifying and dealing with outliers is an important part of data analysis. A new visualization, the O3 plot, is introduced to aid in the display and understanding of patterns of multivariate ...

Abstract: This paper aims to identify incipient and subtle shifts in multivariate time series (MTS) before the occurrence of anomalies (or failures), as well as to localize a group of monitoring ...

The discussion centered on the use of quantile-quantile plots to analyze stock return distributions and their deviations from the normal distribution assumption, primarily during volatile market ...

Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States Nested association mapping (NAM) populations emerged as a multi-parental strategy that combines the high ...

Department of Cardio‐Renal Medicine and Hypertension, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan Department of Internal Medicine, Faculty of Rehabilitation Sciences, ...