At the
begin of this week I started to make a good summary of the publication of my chosen
dataset from which I run the quality rapport with array analysis.
I also
showed my quality rapport that week together
with Egon Willighagen, Bart Smeets and discuss my founded quality rapport of
the array analysis. After the discussion it could be concluded that we better
could delete one of the baseline subject because this one was an outliner in
all the founded tables and graphs. This can also have effect on the other
results (subjects). So I run the analysis again without subject B11. The quality
rapport was better, but still not what we wanted.
The green dot on the botom is Baseline 11
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The green one at the top is Baseline 11
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It can be seen in these MA plots that the expression of the array in Baseline 11 clearly differs from the other Baseline. As example taken Baseline 10, 12 and 13, but the rest was comparable.
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Later that
week Lars Eijssen took a look at the rapport and further discuss it with Egon
Willighagen, Bart Smeets and some other members of the department of
bioinformatics at the Maastricht University. Lars advise me to split my dataset
in two different groups. Because the subjects of this research came from
different countries (VS and Africa) and because they also had two different
project.
In this
case the first dataset would contain a group from the VS that first was the
baseline group and then got infected with Malaria and became the experimental
group from which the pre-symptomatic effect of Malaria where compare against
the baseline.
The second
group would consist only subjects from Africa from which acute malaria was
compared against a group with treated malaria.
At the end
of this week Lars Eijsen gave a statistical lecture which all interns could
(and others) from department bioinformatics could join.
Looking at the PCA splitting the experiments seems to make a lot of sense indeed. I am actually surprised they combined them in the first place.
BeantwoordenVerwijderenDo you have the full QC report online somewhere? Array 11 indeed seems to have some issues, but for a real judgement you need all the available information. The heat map doesn't mean so much by itself. It shows you which array differs most from the rest. But there always is one that is most different and the color scale is set to that.
Thanku for your reaction
BeantwoordenVerwijderenThe QC report for all groups combined: www.arrayanalysis.org/results/hallo_2014-04-24_12-15_17/REPORT_hallo_2014-04-24_12-15_17.pdf
The QC report (experimental group vs baseline)
http://arrayanalysis.org/dev/results/E-GEOD-5418_2014-05-07_14-14_48_0_QC/qc_report_E-GEOD-5418_2014-05-07_14-14_48_0.pdf
The QC report for the acute vs treated group malaria patient
http://arrayanalysis.org/dev/results/E-GEOD-5418.raw.3_2014-05-07_10-36_10_0_QC/qc_report_E-GEOD-5418.raw.3_2014-05-07_10-36_10_0.pdf
I still choose to go futher with these report, because it was one of the best in case of malaria research that I could found.