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22
votes
14
replies
30k
views
7 follow
removing batch effects using ComBat and SVA
SVA ComBat R Batch-effect
updated 10 months ago by 44k • written 8.7 years ago by ▴ 280
0
votes
0
replies
1.4k
views
calculate kinship in SPAGeD
SNP kinship GWAS
8.0 years ago by LJ ▴ 280
0
votes
0
replies
2.3k
views
Answer: A: calculate kinship in SPAGeD
8.2 years ago by LJ ▴ 280
2
votes
2
replies
2.3k
views
calculate kinship in SPAGeD
SPAGeD kinship SNP GWAS
8.2 years ago by LJ ▴ 280
0
votes
0
replies
2.3k
views
Answer: A: calculate kinship in SPAGeD
8.2 years ago by LJ ▴ 280
24
votes
20
replies
19k
views
10 follow
how to choose optimal K in Consensus clustering
Consensus clustering R cluster
updated 8.3 years ago by ▴ 80 • written 8.6 years ago by ▴ 280
13
votes
10
replies
8.7k
views
Gaussian mixture model in R
R Gaussian mixture model data normalization
updated 8.3 years ago by 20 • written 8.7 years ago by ▴ 280
0
votes
0
replies
19k
views
Comment: C: how to choose optimal K in Consensus clustering
8.6 years ago by LJ ▴ 280
0
votes
1
reply
19k
views
Comment: C: how to choose optimal K in Consensus clustering
8.6 years ago by LJ ▴ 280
0
votes
0
replies
19k
views
Comment: C: how to choose optimal K in Consensus clustering
8.6 years ago by LJ ▴ 280
1
vote
4
replies
4.6k
views
what is the meaning of covariates in ComBat
R ComBat
8.7 years ago by LJ ▴ 280
0
votes
1
reply
4.6k
views
Answer: A: what is the meaning of covariates in ComBat
8.7 years ago by LJ ▴ 280
2
votes
2
replies
30k
views
Comment: C: removing batch effects using ComBat and SVA
8.7 years ago by LJ ▴ 280
0
votes
1
reply
30k
views
Comment: C: removing batch effects using ComBat and SVA
8.7 years ago by LJ ▴ 280
1
vote
1
reply
30k
views
Comment: C: removing batch effects using ComBat and SVA
8.7 years ago by LJ ▴ 280
4
votes
7
replies
8.3k
views
PCA when the dimensionality is greater than the number of samples in R
R PCA
updated 8.7 years ago by 8.9k • written 8.7 years ago by ▴ 280
0
votes
0
replies
8.3k
views
Comment: A: PCA when the dimensionality is greater than the number of samples in R
8.7 years ago by LJ ▴ 280
0
votes
2
replies
8.3k
views
Comment: C: PCA when the dimensionality is greater than the number of samples in R
8.7 years ago by LJ ▴ 280
0
votes
1
reply
30k
views
Comment: C: removing batch effects using ComBat and SVA
8.7 years ago by LJ ▴ 280
0
votes
0
replies
4.1k
views
Comment: C: linear regression for removing the population effects
8.7 years ago by LJ ▴ 280
11
votes
7
replies
4.1k
views
linear regression for removing the population effects
R linear regression residuals normalization
updated 8.7 years ago by 15k • written 8.7 years ago by ▴ 280
1
vote
1
reply
4.1k
views
Answer: A: linear regression for removing the population effects
8.7 years ago by LJ ▴ 280
1
vote
1
reply
4.1k
views
Comment: C: linear regression for removing the population effects
8.7 years ago by LJ ▴ 280
1
vote
0
replies
8.7k
views
Comment: C: Gaussian mixture model in R
8.7 years ago by LJ ▴ 280
1
vote
1
reply
8.7k
views
Comment: C: Gaussian mixture model in R
8.7 years ago by LJ ▴ 280
1
vote
1
reply
8.7k
views
Comment: C: Gaussian mixture model in R
8.7 years ago by LJ ▴ 280
1
vote
1
reply
8.7k
views
Comment: C: Gaussian mixture model in R
8.7 years ago by LJ ▴ 280
1
vote
0
replies
8.7k
views
Comment: C: Gaussian mixture model in R
8.7 years ago by LJ ▴ 280
28 results • Page 1 of 1
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