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Taiyao Wang

As seen in: Nature, Flipboard, BioRxiv
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Articles

Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations - Communications Biology

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By Konrad Herbst, Taiyao Wang, Ioannis Ch. Paschalidis
| Nature Verified
Abstract The interpretation of complex biological datasets requires the identification of representative variables that describe the data without critical information loss. This is particularly important in the analysis of large phenotypic datasets (phenomics). Here we introduce Multi-Attribute Subset Selection (MASS), an algorithm which separates a matrix of phenotypes (e.g., yield across microbial species and environmental conditions) into predictor and response sets of conditions.
Open in Who Shared Issue with article?

Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations

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By Konrad Herbst, Taiyao Wang, Elena Forchielli, Meghan Thommes, Ioannis Ch. Paschalidis, Daniel Segrè
| Flipboard
Chromosomes 3 hours ago Body found by hunter in Missouri in 1978 identified as missing Iowa girl CBS News - By Kerry Breen • 3h A decades-old cold case has been solved after detectives were able to identify a body found in 1978 as that of a missing Iowa teenager.
Open in Who Shared View Duplicates (2) Issue with article?

Prediction of representative phenotypes using Multi-Attribute Subset Selection

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By Konrad Herbst, Taiyao Wang, Meghan Thommes, Elena Forchielli
| BioRxiv
Abstract The interpretation of complex biological datasets requires the identification of representative variables that describe the data without critical information loss. This is particularly important in the analysis of large phenotypic datasets ("phenomics"). We introduce Multi-Attribute Subset Selection (MASS), an algorithm which separates a matrix of phenotypes (e.g., yield across microbial species and environmental conditions) into predictor and response sets of conditions.
Open in Who Shared Issue with article?
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