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Constructing level-1-networks consistent with a set of quartets
This project is an implementation of an algorithm by J. Keijsper and R. Pendavingh. The goal of the algorithm is to construct a phylogenetic level-1-network that is consistent with a given set of quartets.
Decima is a database that was designed to support time-series data mining. It consists of PostgreSQL custom type definition, implementation of GiST index for that type and snowflake database schema.
ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
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