Probabilistic modeling in bioinformatics and medical informatics
Learning bayesian networks from complete data. A casual view of multi-layer perceptrons as probability models. Motivation and background on phylogenetic trees. Recombination in bacteria. Statistical methods in microarray gene expression data analysis.
Рубрика | Биология и естествознание |
Предмет | Bioinformatics |
Вид | учебное пособие |
Язык | английский |
Прислал(а) | Dirk Husmeier |
Дата добавления | 25.11.2013 |
Размер файла | 4,2 M |
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