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

por Dalton, Lori, Ballarin, Virginia, Brun, Marcel
Publicado 2009

Scientific knowledge is possible with small-sample classification

por Dougherty, Edward R, Dalton, Lori A
Publicado 2013

On optimal Bayesian classification and risk estimation under multiple classes

por Dalton, Lori A., Yousefi, Mohammadmahdi R.
Publicado en EURASIP J Bioinform Syst Biol (2015)

Data Requirements for Model-Based Cancer Prognosis Prediction

por Dalton, Lori A., Yousefi, Mohammadmahdi R.
Publicado en Cancer Inform (2016)

Optimal cancer prognosis under network uncertainty

por Yousefi, Mohammadmahdi R, Dalton, Lori A
Publicado en EURASIP J Bioinform Syst Biol (2015)

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

por Foroughi pour, Ali, Dalton, Lori A.
Publicado en BMC Bioinformatics (2018)

Optimal clustering under uncertainty

por Dalton, Lori A., Benalcázar, Marco E., Dougherty, Edward R.
Publicado en PLoS One (2018)

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

por Dougherty, Edward R, Boulesteix, Anne-Laure, Dalton, Lori A, Zhang, Michelle
Publicado en Cancer Inform (2018)

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

por Foroughi pour, Ali, Pietrzak, Maciej, Dalton, Lori A, Rempała, Grzegorz A.
Publicado en BMC Bioinformatics (2020)

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

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