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

由 Dalton, Lori, Ballarin, Virginia, Brun, Marcel
出版 2009

Scientific knowledge is possible with small-sample classification

由 Dougherty, Edward R, Dalton, Lori A
出版 2013

On optimal Bayesian classification and risk estimation under multiple classes

由 Dalton, Lori A., Yousefi, Mohammadmahdi R.
發表在 EURASIP J Bioinform Syst Biol (2015)

Data Requirements for Model-Based Cancer Prognosis Prediction

由 Dalton, Lori A., Yousefi, Mohammadmahdi R.
發表在 Cancer Inform (2016)

Optimal cancer prognosis under network uncertainty

由 Yousefi, Mohammadmahdi R, Dalton, Lori A
發表在 EURASIP J Bioinform Syst Biol (2015)

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

由 Foroughi pour, Ali, Dalton, Lori A.
發表在 BMC Bioinformatics (2018)

Optimal clustering under uncertainty

由 Dalton, Lori A., Benalcázar, Marco E., Dougherty, Edward R.
發表在 PLoS One (2018)

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

由 Dougherty, Edward R, Boulesteix, Anne-Laure, Dalton, Lori A, Zhang, Michelle
發表在 Cancer Inform (2018)

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

由 Foroughi pour, Ali, Pietrzak, Maciej, Dalton, Lori A, Rempała, Grzegorz A.
發表在 BMC Bioinformatics (2020)

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

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