Automated Training for Algorithms That Learn from Genomic Data

Automated Training for Algorithms That Learn from Genomic Data

Supervised machine learning algorithms are used by life scientists for a variety of objectives. Expert-curated public gene and protein databases are major resources for gathering data to train these algorithms. While these data resources are continuously updated, generally, these updates are not incorporated into published machine learning algorithms which thereby can become outdated soon after...

“ Algorithms for Genomic Data ”

Agents that Learn from Distributed Dynamic Data Sources

Doina Caragea Artificial Intelligence Research Laboratory, Department of Computer Science, Iowa State University, Ames, IA 50011 USA [email protected] Adrian Silvescu Artificial Intelligence Research Laboratory, Department of Computer Science, Iowa State University, Ames, IA 50011 USA [email protected] Vasant Honavar Artificial Intelligence Research Laboratory, Department of Compute...

Automated deconvolution of structured mixtures from heterogeneous tumor genomic data

With increasing appreciation for the extent and importance of intratumor heterogeneity, much attention in cancer research has focused on profiling heterogeneity on a single patient level. Although true single-cell genomic technologies are rapidly improving, they remain too noisy and costly at present for population-level studies. Bulk sequencing remains the standard for population-scale tumor g...

New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data

1 Universidade Federal de Minas Gerais, Depto. de Estatı́stica, Brazil, [email protected] 2 Universidade Federal de Lavras, Depto. Ciência da Computação, Brazil, [email protected] 3 Universidade Federal de Minas Gerais, Depto. Engenharia Eletrônica, Brazil, {apbraga,eulerhorta,cdmp}@cpdee.ufmg.br 4 Université Paris-Est, ESIEE-Paris, France, {r.natowicz,a.cela}@esiee.fr 5 Institut Mondor de Mé...