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update references to the journal paper
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R/msImpute.R

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#' @references
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#' Hastie, T., Mazumder, R., Lee, J. D., & Zadeh, R. (2015). Matrix completion and low-rank SVD via fast alternating least squares. The Journal of Machine Learning Research, 16(1), 3367-3402.
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#' @references
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#' Hediyeh-zadeh, S., Webb, A. I., & Davis, M. J. (2020). MSImpute: Imputation of label-free mass spectrometry peptides by low-rank approximation. bioRxiv.
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#' Hediyeh-Zadeh, S., Webb, A. I., & Davis, M. J. (2023). MsImpute: Estimation of missing peptide intensity data in label-free quantitative mass spectrometry. Molecular & Cellular Proteomics, 22(8).
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#' @importFrom methods is
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#' @export
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msImpute <- function(y, method=c("v2-mnar", "v2", "v1"),

R/scaleData.R

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#' @references
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#' Hastie, T., Mazumder, R., Lee, J. D., & Zadeh, R. (2015). Matrix completion and low-rank SVD via fast alternating least squares. The Journal of Machine Learning Research, 16(1), 3367-3402.
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#' @references
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#' Hediyeh-zadeh, S., Webb, A. I., & Davis, M. J. (2020). MSImpute: Imputation of label-free mass spectrometry peptides by low-rank approximation. bioRxiv.
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#' Hediyeh-Zadeh, S., Webb, A. I., & Davis, M. J. (2023). MsImpute: Estimation of missing peptide intensity data in label-free quantitative mass spectrometry. Molecular & Cellular Proteomics, 22(8).
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#' @importFrom methods is
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#' @export
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scaleData <- function(object, maxit = 20, thresh = 1e-09, row.center = TRUE, row.scale =TRUE,

R/selectFeatures.R

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#' @author Soroor Hediyeh-zadeh
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#' @seealso msImpute
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#' @references
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#' Hediyeh-zadeh, S., Webb, A. I., & Davis, M. J. (2020). MSImpute: Imputation of label-free mass spectrometry peptides by low-rank approximation. bioRxiv.
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#' Hediyeh-Zadeh, S., Webb, A. I., & Davis, M. J. (2023). MsImpute: Estimation of missing peptide intensity data in label-free quantitative mass spectrometry. Molecular & Cellular Proteomics, 22(8).
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#' @importFrom stats lm residuals
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#' @importFrom methods is
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#' @importFrom graphics abline plot

man/msImpute.Rd

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man/scaleData.Rd

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man/selectFeatures.Rd

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