update description

Author: yulijia

DESCRIPTION

@@ -1,8 +1,13 @@
 Package: iDAS
 Title: Interpretable differential abundance analysis
 Version: 0.0.0.9000
-Authors@R: 
-    person("Lijia", "Yu", , "yulj2010@gmail.com", role = c("aut", "cre"))
+Authors@R: c(
+    person("Lijia", "Yu", , "yulj2010@gmail.com", role = c("aut","cre","ctb")),
+    person("Yingxin", "Lin", email = "yingxinlin.res@gmail.com", role = "aut"),
+    person("Xiangnan", "Xu", role = "aut"),
+    person("Pengyi", "Yang", email = "pengyi.yang@sydney.edu.au", role = "aut"),
+    person("Jean", "Yang", email = "jean.yang@sydney.edu.au", role = c("aut")
+    )
 Description: Single-cell technologies have revolutionized our understanding of cellular dynamics by allowing researchers to investigate individual cell responses under various conditions, such as comparing diseased versus healthy states. To better interpret the gene signatures generated in the differential abundance analysis, we developed iDAS to classify the gene signatures into multiple categories.
 License: GPL
 Encoding: UTF-8

vignettes/iDAS.Rmd

@@ -0,0 +1,25 @@
+---
+title: "iDAS"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{iDAS}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+```
+
+```{r setup}
+library(iDAS)
+```
+
+
+```{r}
+
+
+```

vignettes/iDAS_simulation.Rmd

@@ -1,32 +1,8 @@
 ---
-title: "Simulate Pseudobulk and Apply iDAS to find factor associated gene list"
+title: "Simulate Pseudobulk and apply iDAS to find factor associated gene list"
 date: "`r Sys.Date()`"
 author:
 - name: Lijia Yu
-  # affiliation:
-  # - School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia;
-  # - Sydney Precision Data Science Centre, University of Sydney, NSW 2006, Australia
-  # - Charles Perkins Centre, The University of Sydney, NSW 2006, Australia
-  # - Computational Systems Biology Unit, Children’s Medical Research Institute, Faculty of Medicine and Health, University of Sydney, NSW 2145, Australia
-# - name: Yingxin Lin
-#   affiliation:
-#   - Department of Biostatistics, Yale University, New Haven, CT 208034, USA
-# - name: Xiangnan Xu
-#   affiliation:
-#   - School of Business and Economics, Humboldt-Universität zu Berlin, Berlin 10099, Germany
-# - name: Pengyi Yang
-#   affiliation:
-#   - Computational Systems Biology Unit, Children’s Medical Research Institute, Faculty of Medicine and Health, University of Sydney, NSW 2145, Australia;
-#   - School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia; 
-#   - Sydney Precision Data Science Centre, University of Sydney, NSW 2006, Australia; 
-#   - Charles Perkins Centre, The University of Sydney, NSW 2006, Australia;
-#   - Laboratory of Data Discovery for Health Limited (D24H), Science Park, Hong Kong SAR, China.
-# - name: Jean Yang
-#   affiliation:
-#   - School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia; 
-#   - Sydney Precision Data Science Centre, University of Sydney, NSW 2006, Australia; 
-#   - Charles Perkins Centre, The University of Sydney, NSW 2006, Australia;
-#   - Laboratory of Data Discovery for Health Limited (D24H), Science Park, Hong Kong SAR, China.
 output:
   BiocStyle::html_document:
     toc_float: true