Genome scans for selection and introgression based on k‐nearest neighbour techniques.
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Updated
Mar 15, 2020 - R
Genome scans for selection and introgression based on k‐nearest neighbour techniques.
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
Bayesian calculation of region-specific FST to detect local adaptation
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
This work was published at IEEE ISIT 2022, where we proposed a novel algorithm named G-CADA aiming to improve the time and communication efficiency of distributed learning systems based on grouping and adaptive selection methods 😄
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