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Abstract Summary Estimation of effects of multiple explanatory variables on multiple outcome measures has become routine across life sciences with high-throughput molecular technologies. The linemodels R-package allows a probabilistic clustering… Click to show full abstract
Abstract Summary Estimation of effects of multiple explanatory variables on multiple outcome measures has become routine across life sciences with high-throughput molecular technologies. The linemodels R-package allows a probabilistic clustering of variables based on their observed effect sizes on two outcomes. Availability and implementation An open source implementation in R available at github.com/mjpirinen/linemodels.
Keywords:
based linear;
linemodels clustering;
clustering effects;
linear relationships;
effects based
Journal Title: Bioinformatics
Year Published: 2023
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Journal Title: Bioinformatics
Year Published: 2023
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!