From 0df2decca2989e9058eb5614aaef2d95d53d7df9 Mon Sep 17 00:00:00 2001
From: vincerubinetti <8326331+vincerubinetti@users.noreply.github.com>
Date: Tue, 6 Aug 2024 22:15:29 +0000
Subject: [PATCH] [create-pull-request] automated change

---
 _cite/.cache/cache.db | Bin 327680 -> 327680 bytes
 _data/citations.yaml  |  30 +++++++++++++++---------------
 2 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/_cite/.cache/cache.db b/_cite/.cache/cache.db
index 771161bdc14b68602d398aa44f42615e1a6509a1..4b138d43bba7c7b991111100f6db9ebedec1e6e2 100644
GIT binary patch
delta 550
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delta 550
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diff --git a/_data/citations.yaml b/_data/citations.yaml
index cfc7dae8..979b70a3 100644
--- a/_data/citations.yaml
+++ b/_data/citations.yaml
@@ -5474,6 +5474,21 @@
     link: http://dx.doi.org/10.1101/039800
   - type: source
     link: https://github.com/greenelab/DAPS
+- id: doi:10.1101/030650
+  title: ADAGE analysis of publicly available gene expression data collections illuminates
+    Pseudomonas aeruginosa-host interactions
+  authors:
+  - Jie Tan
+  - John H Hammond
+  - Deborah A Hogan
+  - Casey S Greene
+  publisher: Cold Spring Harbor Laboratory
+  date: '2015-11-05'
+  link: https://doi.org/10.1101/030650
+  orcid: 0000-0001-8713-9213
+  member: casey-greene
+  plugin: orcid.py
+  file: orcid.yaml
 - id: doi:10.7287/PEERJ.PREPRINTS.1460V1
   title: Cross-platform normalization of microarray and RNA-seq data for machine learning
     applications
@@ -6693,21 +6708,6 @@
   member: casey-greene
   plugin: orcid.py
   file: orcid.yaml
-- id: doi:10.1101/030650
-  title: ADAGE analysis of publicly available gene expression data collections illuminates
-    Pseudomonas aeruginosa-host interactions
-  authors:
-  - Jie Tan
-  - John H Hammond
-  - Deborah A Hogan
-  - Casey S Greene
-  publisher: Cold Spring Harbor Laboratory
-  date: '2015-11-05'
-  link: https://doi.org/10.1101/030650
-  orcid: 0000-0001-8713-9213
-  member: casey-greene
-  plugin: orcid.py
-  file: orcid.yaml
 - id: doi:10.1349/ddlp.303
   title: Relief-based bioinformatics methods for the analysis of epistasis in genetic
     association studies.