diff --git a/README.rst b/README.rst index ca743ea..7cd9bf4 100644 --- a/README.rst +++ b/README.rst @@ -43,7 +43,7 @@ SuSiE PCA is the abbreviation for the Sum of Single Effects model [1]_ for princ for an efficient variable selection in PCA when dealing with high dimensional data with sparsity, and for quantifying uncertainty of contributing features for each latent component through posterior inclusion probabilities (PIPs). We implement the model with the `JAX `_ library developed by Google which enable the fast -training on CPU, GPU or TPU. +training on CPU, GPU or TPU. The paper has been published in `iScience (2023) `_ |Documentation|_ | |Installation|_ | |Example|_ | |Notes|_ | |References|_ | |Support|_