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Activity Number:
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451
- Current Trends in Statistical Genomics: Finding Needle in a Haystack?
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 2, 2017 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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Abstract #323749
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View Presentation
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Title:
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Statistical Challenges in Analysis of Complex Phenotypes Derived from Sequential Images
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Author(s):
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Dan Nettleton* and Patrick Schnable and Yehua Li and Li Wang and Baskar Ganapathysubramanian
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Companies:
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Iowa State University and Iowa State University and Iowa State University and Iowa State University and Iowa State University
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Keywords:
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phenotype ;
genotype ;
functional data ;
spatial ;
temporal ;
image analysis
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Abstract:
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Researchers at Iowa State University are using networked cameras distributed throughout fields to collect time-lapse image sequences for thousands of growing maize plants. From these images, we extract multiple phenotypic traits as functions of time. Accompanying these multivariate functional phenotypes are time-indexed measurements of the environment experienced by the plants as they grow, as well as high-dimensional genotype information for each plant. Together, these data provide an unprecedented resource for understanding how genotype and environment work together to shape maize phenotypes. This talk will discuss statistical methods that can be used to address questions of scientific interest and highlight some of the interesting challenges that arise for the analysis of such data.
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Authors who are presenting talks have a * after their name.
