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18
votes
14
replies
26k
views
7 follow
removing batch effects using ComBat and SVA
R ComBat SVA Batch effect
updated 5 weeks ago by ▴ 20 • written 7.3 years ago by ▴ 260
0
votes
0
replies
1.2k
views
calculate kinship in SPAGeD
SNP kinship GWAS
6.6 years ago by LJ ▴ 260
0
votes
0
replies
2.0k
views
Answer: A: calculate kinship in SPAGeD
6.8 years ago by LJ ▴ 260
2
votes
2
replies
2.0k
views
calculate kinship in SPAGeD
SPAGeD kinship SNP GWAS
6.8 years ago by LJ ▴ 260
0
votes
0
replies
2.0k
views
Answer: A: calculate kinship in SPAGeD
6.8 years ago by LJ ▴ 260
24
votes
20
replies
16k
views
10 follow
how to choose optimal K in Consensus clustering
Consensus clustering R cluster
updated 6.9 years ago by ▴ 80 • written 7.3 years ago by ▴ 260
13
votes
10
replies
7.7k
views
Gaussian mixture model in R
R Gaussian mixture model data normalization
updated 6.9 years ago by 20 • written 7.3 years ago by ▴ 260
0
votes
0
replies
16k
views
Comment: C: how to choose optimal K in Consensus clustering
7.3 years ago by LJ ▴ 260
0
votes
1
reply
16k
views
Comment: C: how to choose optimal K in Consensus clustering
7.3 years ago by LJ ▴ 260
0
votes
0
replies
16k
views
Comment: C: how to choose optimal K in Consensus clustering
7.3 years ago by LJ ▴ 260
0
votes
1
reply
4.0k
views
Answer: A: what is the meaning of covariates in ComBat
7.3 years ago by LJ ▴ 260
1
vote
4
replies
4.0k
views
what is the meaning of covariates in ComBat
R ComBat
7.3 years ago by LJ ▴ 260
2
votes
2
replies
26k
views
Comment: C: removing batch effects using ComBat and SVA
7.3 years ago by LJ ▴ 260
0
votes
1
reply
26k
views
Comment: C: removing batch effects using ComBat and SVA
7.3 years ago by LJ ▴ 260
1
vote
1
reply
26k
views
Comment: C: removing batch effects using ComBat and SVA
7.3 years ago by LJ ▴ 260
4
votes
7
replies
7.5k
views
PCA when the dimensionality is greater than the number of samples in R
R PCA
updated 7.3 years ago by 8.4k • written 7.3 years ago by ▴ 260
0
votes
0
replies
7.5k
views
Comment: A: PCA when the dimensionality is greater than the number of samples in R
7.3 years ago by LJ ▴ 260
0
votes
2
replies
7.5k
views
Comment: C: PCA when the dimensionality is greater than the number of samples in R
7.3 years ago by LJ ▴ 260
0
votes
1
reply
26k
views
Comment: C: removing batch effects using ComBat and SVA
7.3 years ago by LJ ▴ 260
0
votes
0
replies
3.4k
views
Comment: C: linear regression for removing the population effects
7.3 years ago by LJ ▴ 260
11
votes
7
replies
3.4k
views
linear regression for removing the population effects
R linear regression residuals normalization
updated 7.3 years ago by 14k • written 7.3 years ago by ▴ 260
1
vote
1
reply
3.4k
views
Answer: A: linear regression for removing the population effects
7.3 years ago by LJ ▴ 260
1
vote
1
reply
3.4k
views
Comment: C: linear regression for removing the population effects
7.3 years ago by LJ ▴ 260
1
vote
0
replies
7.7k
views
Comment: C: Gaussian mixture model in R
7.3 years ago by LJ ▴ 260
1
vote
1
reply
7.7k
views
Comment: C: Gaussian mixture model in R
7.3 years ago by LJ ▴ 260
1
vote
1
reply
7.7k
views
Comment: C: Gaussian mixture model in R
7.3 years ago by LJ ▴ 260
1
vote
1
reply
7.7k
views
Comment: C: Gaussian mixture model in R
7.3 years ago by LJ ▴ 260
1
vote
0
replies
7.7k
views
Comment: C: Gaussian mixture model in R
7.3 years ago by LJ ▴ 260
28 results • Page 1 of 1
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