Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update maintainer #337

Merged
merged 2 commits into from
Nov 30, 2024
Merged

update maintainer #337

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
c9fd11b
update maintainer
marouenbg Nov 30, 2024
df90099
update maintainer
marouenbg Nov 30, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 2 additions & 3 deletions DESCRIPTION
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
Package: netZooR
Type: Package
Title: Unified methods for the inference and analysis of gene regulatory networks
Version: 1.6.0
Date: 2024-07-26
Version: 1.6.1
Date: 2024-11-26
Authors@R: c(person("Tara", "Eicher",
email = "teicher@hsph.harvard.edu", role = c("aut","cre"), comment = c(ORCID = "0000-0003-1809-4458")),
person("Marouen", "Ben Guebila",
Expand All @@ -23,7 +23,6 @@ Authors@R: c(person("Tara", "Eicher",
email = "",role = "aut", comment = c(ORCID = "0000-0002-8042-7201")),
person("Kate", "Shutta",
email = "",role = "aut", comment = c(ORCID = "0000-0003-0402-3771")))
Maintainer: Tara Eicher <teicher@hsph.harvard.edu>
Description: netZooR unifies the implementations of several Network Zoo methods (netzoo, netzoo.github.io) into a single package by creating interfaces between network inference and network analysis methods. Currently, the package has 3 methods for network inference including PANDA and its optimized implementation OTTER (network reconstruction using mutliple lines of biological evidence), LIONESS (single-sample network inference), and EGRET (genotype-specific networks). Network analysis methods include CONDOR (community detection), ALPACA (differential community detection), CRANE (significance estimation of differential modules), MONSTER (estimation of network transition states). In addition, YARN allows to process gene expresssion data for tissue-specific analyses and SAMBAR infers missing mutation data based on pathway information.
Depends: R (>= 4.2.0),
igraph,
Expand Down
7 changes: 7 additions & 0 deletions NEWS.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,10 @@
CHANGES IN VERSION 1.6.1
--------------------------

- Update: MONSTER has a wrapper function to process input
- Update: LIONESS can use new data merging strategies ('union','intersection','legacy') as opposed to union by default


CHANGES IN VERSION 1.6.0
--------------------------

Expand Down
Loading