SDAMS-package: SDAMS package for differential abundance analysis of...
In SDAMS: Differential Abundant Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data
Description
Author(s)
References
Description
SDAMS is an R package for differential abundance analysis of metabolomics and
proteomics data from mass spectrometry and single-cell RNA sequencing data,
and the main function for differential abundance analysis
is SDA. See the examples at SDA for
basic analysis steps. SDAMS considers a two-part model, a logistic regression
for the zero proportion and a semi-parametric log-linear model for the
non-zero values.
Author(s)
Yuntong Li <yuntong.li@uky.edu>,
Chi Wang <chi.wang@uky.edu>,
Li Chen <lichenuky@uky.edu>
References
Li, Y., Fan, T.W., Lane, A.N. et al. SDA: a semi-parametric differential
abundance analysis method for metabolomics and proteomics data.
BMC Bioinformatics 20, 501 (2019).
SDAMS documentation built on Nov. 8, 2020, 6:10 p.m.
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Description Author(s) References
Description
SDAMS is an R package for differential abundance analysis of metabolomics and
proteomics data from mass spectrometry and single-cell RNA sequencing data,
and the main function for differential abundance analysis
is SDA. See the examples at SDA for
basic analysis steps. SDAMS considers a two-part model, a logistic regression
for the zero proportion and a semi-parametric log-linear model for the
non-zero values.
Author(s)
Yuntong Li <yuntong.li@uky.edu>, Chi Wang <chi.wang@uky.edu>, Li Chen <lichenuky@uky.edu>
References
Li, Y., Fan, T.W., Lane, A.N. et al. SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data. BMC Bioinformatics 20, 501 (2019).
R Package Documentation
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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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