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WfccmAlgorithmSAM
(06 Feb 2012,
WillGray
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SAM Algorithm
The data is
, i = 1, 2, ... p genes, j = 1, 2, ... n samples, and response data
, j = 1,2, ... n (
may be a vector).
Generic SAM procedure :
Compute a statistic :
; i = 1, 2, ... p
is a score.
is a standard deviation.
is a fudge factor.
Details of
and
for
Two Class, Unpaired Data
response type :
.
.
; k = 1,2.
= 1 or 2.
is the number of observations in
.
Computation of
:
Compute the
100
quantiles of the
values, denoted by
.
For
(0, .01, .02, ... 1.0)
Let
, where
be the
percentile of the
values.
Compute
, j = 1, 2, ... 100, where
_mad_
is the median absolute deviation from the median, multiplied with
1.4826
.
Compute cv(
) =
.
Choose
= argmin[cv(
)].
Finally compute
=
.
is henceforth fixed at the value
.
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Topic revision: r14 - 06 Feb 2012,
WillGray
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