brain_CN
所属分类：人工智能/神经网络/深度学习
开发工具：R
文件大小：0KB
下载次数：0
上传日期：2022-05-21 12:41:04
上 传 者：
sh-1993
说明： 脑神经网络，，
(brainCN,,)
文件列表:
trial/ (0, 2022-05-21)
trial/scripts/ (0, 2022-05-21)
trial/scripts/00_Source.R (981, 2022-05-21)
trial/scripts/01_PrepareRData.R (2684, 2022-05-21)
trial/scripts/02_TakeResidualsGenome90.R (2188, 2022-05-21)
trial/scripts/03_RemoveNegatives.R (754, 2022-05-21)
trial/scripts/04_RunGinkgo_small.R (9216, 2022-05-21)
trial/scripts/05_CNVcaller.sh (175, 2022-05-21)
trial/scripts/06_Clouds.R (930, 2022-05-21)
trial/scripts/07_CellStat.R (829, 2022-05-21)
trial/scripts/08_Aneuploidy70.R (1816, 2022-05-21)
trial/scripts/09_FilterCell.R (937, 2022-05-21)
trial/scripts/10_CNVStat_UniqBound.R (1851, 2022-05-21)
trial/scripts/11_CNVStat_Filter.R (3538, 2022-05-21)
trial/scripts/12_EffectSize.R (1457, 2022-05-21)
trial/scripts/13_CNV_Cell.R (919, 2022-05-21)
trial/scripts/14_FilterCNV.R (1411, 2022-05-21)
trial/scripts/15_CNVInfo.R (879, 2022-05-21)
trial/scripts/16_SigniCNVLocation.R (874, 2022-05-21)
trial/scripts/17_SigniCNVGinkgo.R (8196, 2022-05-21)
trial/scripts/18_SigniCNVPlot.R (1042, 2022-05-21)
trial/scripts/19_CreateMatrix.R (1587, 2022-05-21)
trial/scripts/20_glmmADMB_chr.R (1326, 2022-05-21)
trial/scripts/21_glmmADMB.R (1258, 2022-05-21)
trial/scripts/22_CombineSigniCNV.R (966, 2022-05-21)
trial/scripts/23_Create_Matrix.R (887, 2022-05-21)
trial/scripts/24_BeforAfterDenoising.R (739, 2022-05-21)
trial/scripts/25_Supple_Table1.R (928, 2022-05-21)
trial/scripts/26_glmmADMB_Table.R (551, 2022-05-21)
trial/scripts/27_Noisy_cells_article.R (3631, 2022-05-21)
trial/scripts/28_PloidyTable.R (1727, 2022-05-21)
trial/scripts/29_Chr1.R (807, 2022-05-21)
trial/scripts/30_Chr21.R (808, 2022-05-21)
turan/ (0, 2022-05-21)
turan/scripts/ (0, 2022-05-21)
turan/scripts/00_Source.R (933, 2022-05-21)
turan/scripts/01_quality_control.sh (409, 2022-05-21)
turan/scripts/02_TrimAlign.sh (1599, 2022-05-21)
... ...
# brain_CN
**Somatic copy number variant load in neurons of healthy controls and Alzheimer’s disease patients**
Principal component analysis-based denoising approach are implemented in:
```{bash}
/trial/scripts/02_TakeResidualsGenome90.R
/trial/scripts/03_RemoveNegatives.R
```
Please consider citing [Ginkgo](https://github.com/robertaboukhalil/ginkgo), if you use CNV prediction scripts in this repository.
近期下载者：
相关文件：
收藏者：