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amit kumar subudhi
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130
@amit-kumar-subudhi-6098
Last seen 10.2 years ago
Hello to all ComBat users,
I am trying to remove the batch effects from some of my microarray
data but
at last I am getting an error message which read as
Found 3 batches
Found 1 categorical covariate(s)
Standardizing Data across genes
Error in solve.default(t(design) %*% design) :
Lapack routine dgesv: system is exactly singular: U[4,4] = 0
The head(edata) looks like this
AL AO AP AQ
CF
GT_pfalci_specific_0000001 16.053898 16.080540 16.101114 16.046898
16.087206
GT_pfalci_specific_0000002 10.051407 10.477143 8.369233 10.657850
13.312936
GT_pfalci_specific_0000003 8.910620 8.683393 7.812817 8.496099
10.920685
GT_pfalci_specific_0000004 6.603195 8.993232 6.476777 6.792369
3.319346
GT_pfalci_specific_0000005 9.813562 11.084574 9.055613 11.568550
12.977261
GT_pfalci_specific_0000006 15.989252 15.993513 15.963054 16.000675
15.983985
CL CU CV GA_UC
GB_UC
GT_pfalci_specific_0000001 16.082037 16.071299 16.090370 15.971335
15.994304
GT_pfalci_specific_0000002 12.653076 9.703247 8.827624 5.697412
8.060719
GT_pfalci_specific_0000003 11.470758 10.548943 10.718349 6.132614
8.007271
GT_pfalci_specific_0000004 5.328515 8.398546 6.351136 3.045112
3.891578
GT_pfalci_specific_0000005 8.520699 11.791610 11.535907 6.791468
9.930246
GT_pfalci_specific_0000006 15.980660 15.984256 15.970124 13.353012
13.740395
GC_UC GE_UC GR_UC
GT_pfalci_specific_0000001 15.855644 16.090246 16.086956
GT_pfalci_specific_0000002 9.026398 8.015609 7.814614
GT_pfalci_specific_0000003 5.341252 8.658231 5.788790
GT_pfalci_specific_0000004 4.191565 3.040515 3.517175
GT_pfalci_specific_0000005 5.446910 11.982848 5.477334
GT_pfalci_specific_0000006 11.872469 13.675290 13.117105
GT_pfalci_specific_0000006 15.983985 15.970124
and the head(pheno) looks like this
sample batch malaria
AL 1 1 severe
AO 2 1 severe
AP 3 1 severe
AQ 4 1 severe
CF 5 2 severe
CL 6 2 severe
the commands that I have used for ComBat is
mod = model.matrix(~as.factor(malaria), data=pheno)
combat_edata = ComBat(dat=edata, batch=batch, mod=mod, numCovs=NULL,
par.prior=TRUE, prior.plots=FALSE)
head(mod) looks like this
(Intercept) as.factor(malaria)uncomplicated
AL 1 0
AO 1 0
AP 1 0
AQ 1 0
CF 1 0
CL 1 0
Why I am getting this error meassage? Please help me out. When I am
taking
the larger sample size (n=33) I could able to remove the batch effects
but
a subset of those samples giving me the above problem.
--
Amit Kumar Subudhi
Research Scholar,
CSIR-Senior Research Fellow,
Molecular Parasitology and Systems Biology Lab,
Department of Biological Sciences ,
FD III, BITS, Pilani,
Rajasthan- 333031
e mail-
amit4help@gmail.com
amit.subudhi@pilani.bits-pilani.ac.in
Mob No- 919983525845
--
Amit Kumar Subudhi
Research Scholar,
CSIR-Senior Research Fellow,
Molecular Parasitology and Systems Biology Lab,
Department of Biological Sciences ,
FD III, BITS, Pilani,
Rajasthan- 333031
e mail-
amit4help@gmail.com
amit.subudhi@pilani.bits-pilani.ac.in
Mob No- 919983525845
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