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hemant ritturaj
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150
@hemant-ritturaj-3016
Last seen 10.2 years ago
Dear all,
I have been analysing the microarray data for three or more
experimental
condition
I have noted a very serious problem in analysis performed in the
analysis.
the problem observed is as follows:
I had three experimental condition each with control and experimental
condition, having two replicates each
T1 - control (2 replicates) - experiment (2 replicates)
T2- control (2 replicates) - experiment (2 replicates)
T3-control (2 replicates) - experiment (2 replicates)
When analysis was perfomed for T1, T2 and T3 seperatly such as
Name FileName Target
T1_c1 T1c1.CEL T1c
T1_c2 T1c2.CEL T1c
T1_s1 T2c3.CEL T1s
T1_s2 T2c5.CEL T1s
I have got a list of differetially expressed genes respectively for
three
sets.
But when analysis was performed together that from a single Target
file
Name FileName Target
T1_c1 T1c1.CEL T1c
T1_c2 T1c2.CEL T1c
T1_s1 T2c3.CEL T1s
T1_s2 T2c5.CEL T1s
T2_c1 T3c6.CEL T2c
T2_c2 T3c7.CEL T2c
T2_s1 T4c8.CEL T2s
T2_s2 T4c9.CEL T2s
T3_c1 T5c1.CEL T3c
T3_c2 T5c2.CEL T3c
T3_s1 T6c1.CEL T3s
T3_s2 T6c2.CEL T3s
and analysed the differetially expressed gene for T1, T2 and T3 I get
totally different results from the results obtained by analysing them
seperatly.
I want to know that whether the expression is averaged over all the
chips
therfore giving inconsistent result .between the two methods
I want to know whether this incosistency is problem with bioconductor
or I
have understood some of the basic analysis part such as design matrix
in
certain wrong way.
I shall be very thankful for anyone who will help me in understanding
the
basic concept of analysing microarray data.
--
Hemant Ritturaj Kushwaha
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