Clustering Algorithms: On Learning, Validation, Performance, and Applications to Genomics

von Dalton, Lori, Ballarin, Virginia, Brun, Marcel
Veröffentlicht 2009

Scientific knowledge is possible with small-sample classification

von Dougherty, Edward R, Dalton, Lori A
Veröffentlicht 2013

On optimal Bayesian classification and risk estimation under multiple classes

von Dalton, Lori A., Yousefi, Mohammadmahdi R.
Veröffentlicht in EURASIP J Bioinform Syst Biol (2015)

Data Requirements for Model-Based Cancer Prognosis Prediction

von Dalton, Lori A., Yousefi, Mohammadmahdi R.
Veröffentlicht in Cancer Inform (2016)

Optimal cancer prognosis under network uncertainty

von Yousefi, Mohammadmahdi R, Dalton, Lori A
Veröffentlicht in EURASIP J Bioinform Syst Biol (2015)

Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure

von Foroughi pour, Ali, Dalton, Lori A.
Veröffentlicht in BMC Bioinformatics (2018)

Optimal clustering under uncertainty

von Dalton, Lori A., Benalcázar, Marco E., Dougherty, Edward R.
Veröffentlicht in PLoS One (2018)

Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy

von Dougherty, Edward R, Boulesteix, Anne-Laure, Dalton, Lori A, Zhang, Michelle
Veröffentlicht in Cancer Inform (2018)

High dimensional model representation of log-likelihood ratio: binary classification with expression data

von Foroughi pour, Ali, Pietrzak, Maciej, Dalton, Lori A, Rempała, Grzegorz A.
Veröffentlicht in BMC Bioinformatics (2020)

High dimensional model representation of log likelihood ratio: binary classification with SNP data

von pour, Ali Foroughi, Pietrzak, Maciej, Sucheston-Campbell, Lara E., Karaesmen, Ezgi, Dalton, Lori A., Rempała, Grzegorz A.
Veröffentlicht in BMC Med Genomics (2020)