seminars:stat:201105 [Department of Mathematics and Statistics, Binghamton University]

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<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>

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^  **DATE:**|Thursday, November 5, 2020 |
^  **TIME:**|1:15pm -- 2:15pm |
^  **LOCATION:**|ZOOM meeting |
^  **SPEAKER:**|Yifei Zhang, Binghamton University |
^  **TITLE:**|Comparison of shape quantification methods for genomic study  |
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<WRAP centeralign>**Abstract**</WRAP>
Among geometric morphometrics methods, elliptic Fourier analysis and
semi-landmark analysis are often used for the quantification of biological
shape variations. Elliptic Fourier analysis is an approximation process of
a shape contour while semi-landmark is a method of superimposed points in
which the difference of multiple contour positions are minimized. These two
methods will give us two different responses. Moreover, different direction
standardization and different scaling procedures can also lead to different
responses. This paper showed how different combinations of geometric
morphometrics methods and standardization & scaling procedures affect
principal component scores, average shape, prediction accuracy and
association study by analyzing the association between Sorghum seed's shape
variations and genome-wide single-nucleotide polymorphisms (SNP).
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