Processing and Classification of Protein Mass Spectra (SELDI) Data
R (>= 2.0.0), PROcess, e1071, nnet, rpart, bitops
Functions for processing and classification of protein mass
spectra (SELDI) data. Also contains several basic utility functions including:
reading/writing ENVI binary files, fast moving (rolling, running) window
statistic functions, fast calculation of AUC, LogitBoost classifier, base64
encoder/decoder, etc.
The caMassClass Software License, Version 1.0 (See COPYING file or
"http://ncicb.nci.nih.gov/download/camassclasslicense.jsp")

R (>= 2.0.0), PROcess, e1071, nnet, rpart, caTools, XML, digest
Functions for processing and classification of protein mass
spectra (SELDI) data. Also includes reading and writing of mzXML Files

Processing & Classification of Protein Mass Spectra (SELDI) Data

Functions for processing and classification of protein mass
spectra (SELDI) data. Also includes support for mzXML Files.

R (>= 2.0.0), PROcess, e1071, nnet, rpart, caTools, XML, digest, MASS

R (>= 2.0.0), PROcess, e1071, nnet, rpart, caTools, XML,
digest, MASS
Functions for processing and classification of protein
mass spectra (SELDI) data. Also includes support for mzXML
Files.

Continuous Biomarker Evaluation with Adjustment of Covariates
Compute covariate-adjusted specificity at controlled sensitivity level, or covariate-adjusted sensitivity at controlled specificity level, or covariate-adjust receiver operating characteristic curve, or covariate-adjusted thresholds at controlled sensitivity/specificity level. All statistics could also be computed for specific sub-populations given their covariate values. Methods are described in Ziyi Li, Yijian Huang, Datta Patil, Martin G. Sanda (2021+) "Covariate adjustment in continuous biomarker assessment".

Automatic Calibration by Evolutionary Multi Objective Algorithm
c(
person("Nicolas", "Le Moine", role = c("aut")),
person("Celine", "Monteil", role = c("aut")),
person("Frederic", "Hendrickx", role = c("ctb")),
person("Fabrice", "Zaoui", role = c("aut", "cre"), email = "fabrice.zaoui@edf.fr")
)
Nicolas Le Moine [aut],
Celine Monteil [aut],
Frederic Hendrickx [ctb],
Fabrice Zaoui [aut, cre]
Multi-objective optimizer initially developed for the calibration of hydrological models.
The algorithm is a hybrid of the MEAS algorithm (Efstratiadis and Koutsoyiannis (2005) <doi:10.13140/RG.2.2.32963.81446>) by using the directional search method based on the simplexes of the objective space
and the epsilon-NGSA-II algorithm with the method of classification of the parameter vectors archiving management by epsilon-dominance (Reed and Devireddy <doi:10.1142/9789812567796_0004>).