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22
votes
14
replies
34k
views
7 follow
removing batch effects using ComBat and SVA
SVA ComBat R Batch-effect
updated 19 months ago by 45k • written 9.4 years ago by ▴ 280
0
votes
0
replies
1.5k
views
calculate kinship in SPAGeD
SNP kinship GWAS
8.7 years ago by LJ ▴ 280
0
votes
0
replies
2.6k
views
Answer: A: calculate kinship in SPAGeD
8.9 years ago by LJ ▴ 280
2
votes
2
replies
2.6k
views
calculate kinship in SPAGeD
SPAGeD kinship SNP GWAS
8.9 years ago by LJ ▴ 280
0
votes
0
replies
2.6k
views
Answer: A: calculate kinship in SPAGeD
8.9 years ago by LJ ▴ 280
24
votes
20
replies
21k
views
10 follow
how to choose optimal K in Consensus clustering
Consensus clustering R cluster
updated 9.1 years ago by ▴ 80 • written 9.4 years ago by ▴ 280
13
votes
10
replies
9.4k
views
Gaussian mixture model in R
R Gaussian mixture model data normalization
updated 9.1 years ago by 20 • written 9.5 years ago by ▴ 280
0
votes
0
replies
21k
views
Comment: C: how to choose optimal K in Consensus clustering
9.4 years ago by LJ ▴ 280
0
votes
1
reply
21k
views
Comment: C: how to choose optimal K in Consensus clustering
9.4 years ago by LJ ▴ 280
0
votes
0
replies
21k
views
Comment: C: how to choose optimal K in Consensus clustering
9.4 years ago by LJ ▴ 280
0
votes
1
reply
5.0k
views
Answer: A: what is the meaning of covariates in ComBat
9.4 years ago by LJ ▴ 280
1
vote
4
replies
5.0k
views
what is the meaning of covariates in ComBat
R ComBat
9.4 years ago by LJ ▴ 280
2
votes
2
replies
34k
views
Comment: C: removing batch effects using ComBat and SVA
9.4 years ago by LJ ▴ 280
0
votes
1
reply
34k
views
Comment: C: removing batch effects using ComBat and SVA
9.4 years ago by LJ ▴ 280
1
vote
1
reply
34k
views
Comment: C: removing batch effects using ComBat and SVA
9.4 years ago by LJ ▴ 280
4
votes
7
replies
8.8k
views
PCA when the dimensionality is greater than the number of samples in R
R PCA
updated 9.4 years ago by 9.0k • written 9.4 years ago by ▴ 280
0
votes
0
replies
8.8k
views
Comment: A: PCA when the dimensionality is greater than the number of samples in R
9.4 years ago by LJ ▴ 280
0
votes
2
replies
8.8k
views
Comment: C: PCA when the dimensionality is greater than the number of samples in R
9.4 years ago by LJ ▴ 280
0
votes
1
reply
34k
views
Comment: C: removing batch effects using ComBat and SVA
9.4 years ago by LJ ▴ 280
0
votes
0
replies
4.5k
views
Comment: C: linear regression for removing the population effects
9.4 years ago by LJ ▴ 280
11
votes
7
replies
4.5k
views
linear regression for removing the population effects
R linear regression residuals normalization
updated 9.4 years ago by 15k • written 9.5 years ago by ▴ 280
1
vote
1
reply
4.5k
views
Answer: A: linear regression for removing the population effects
9.5 years ago by LJ ▴ 280
1
vote
1
reply
4.5k
views
Comment: C: linear regression for removing the population effects
9.5 years ago by LJ ▴ 280
1
vote
0
replies
9.4k
views
Comment: C: Gaussian mixture model in R
9.5 years ago by LJ ▴ 280
1
vote
1
reply
9.4k
views
Comment: C: Gaussian mixture model in R
9.5 years ago by LJ ▴ 280
1
vote
1
reply
9.4k
views
Comment: C: Gaussian mixture model in R
9.5 years ago by LJ ▴ 280
1
vote
1
reply
9.4k
views
Comment: C: Gaussian mixture model in R
9.5 years ago by LJ ▴ 280
1
vote
0
replies
9.4k
views
Comment: C: Gaussian mixture model in R
9.5 years ago by LJ ▴ 280
28 results • Page 1 of 1
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