runSAM: runSAM
In csSAM: csSAM - cell-specific Significance Analysis of Microarrays
Description
Usage
Arguments
Author(s)
References
Description
A lightweight version of the SAM algorithm, only performs
two group comparison with equal deltas on each tail
Usage
1
Arguments
G
Matrix of gene expression, columns ordered in
the same order at the cell-frequency matrix (n by p, n
samples, p genes)
y
Numeric group association of each sample. Either
1 or 2.
s0.sam
Input or computed value of SAM
exchangeability factor. Default is determined
automatically
stand.r
Median center and standardize arrays.
Default is TRUE.
Author(s)
Shai Shen-Orr, Rob Tibshirani, Narasimhan
Balasubramanian, David Wang
References
Shen-Orr SS, Tibshirani R, Khatri P, Bodian DL, Staedtler
F, Perry NM, Hastie T, Sarwal MM, Davis MM and Butte AJ
(2010). "Cell type-specific gene expression differences
in complex tissues." _Nature methods_, *7*(4), pp. 287-9.
ISSN 1548-7105, <URL:
http://dx.doi.org/10.1038/nmeth.1439>, <URL:
http://www.ncbi.nlm.nih.gov/pubmed/20208531>.
csSAM documentation built on May 2, 2019, 5:21 p.m.
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Description Usage Arguments Author(s) References
Description
A lightweight version of the SAM algorithm, only performs two group comparison with equal deltas on each tail
Usage
1 |
Arguments
G |
Matrix of gene expression, columns ordered in the same order at the cell-frequency matrix (n by p, n samples, p genes) |
y |
Numeric group association of each sample. Either 1 or 2. |
s0.sam |
Input or computed value of SAM exchangeability factor. Default is determined automatically |
stand.r |
Median center and standardize arrays. Default is TRUE. |
Author(s)
Shai Shen-Orr, Rob Tibshirani, Narasimhan Balasubramanian, David Wang
References
Shen-Orr SS, Tibshirani R, Khatri P, Bodian DL, Staedtler F, Perry NM, Hastie T, Sarwal MM, Davis MM and Butte AJ (2010). "Cell type-specific gene expression differences in complex tissues." _Nature methods_, *7*(4), pp. 287-9. ISSN 1548-7105, <URL: http://dx.doi.org/10.1038/nmeth.1439>, <URL: http://www.ncbi.nlm.nih.gov/pubmed/20208531>.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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