From 925e716756243c034619c0b9988413c6ede4a58e Mon Sep 17 00:00:00 2001 From: Teng Fei Date: Thu, 7 Nov 2024 13:47:48 -0500 Subject: [PATCH] Update README.md with article information (#27) --- README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 4ff036e..48a3169 100644 --- a/README.md +++ b/README.md @@ -19,8 +19,8 @@ proposed method adapts the augmented Lagrangian algorithm for a zero-sum constraint optimization problem while enabling a two-stage screening process for extended false-positive control. -The associated preprint for `FLORAL` is available on -[bioRxiv](https://www.biorxiv.org/content/10.1101/2023.05.02.538599). +The associated article for `FLORAL` is available on +[Cell Reports Methods](https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(24)00289-3). ## System requirements and installation @@ -178,6 +178,5 @@ you to all contributors! Fei T, Funnell T, Waters NR, Raj SS, Sadeghi K, Dai A, Miltiadous O, Shouval R, Lv M, Peled JU, Ponce DM, Perales M-A, Gönen M, van den Brink -MRM, Enhanced Feature Selection for Microbiome Data using FLORAL: -Scalable Log-ratio Lasso Regression, bioRxiv 2023.05.02.538599; doi: -. +MRM, Scalable log-ratio lasso regression for enhanced microbial feature selection with FLORAL, Cell Reports Methods (2024), 100899; doi: +.