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Found 3 papers, 1 papers with code
Iterative Rule Extension for Logic Analysis of Data: an MILP-based heuristic to derive interpretable binary classification from large datasets
These developments combined lead to the need for a method that can abstract complex yet interpretable input-output relationships from large data, i. e. data containing large numbers of samples and sample features.
A Drug Recommendation System (Dr.S) for cancer cell lines
Our goal is to develop a method to identify the drug that is most promising based on a cell line's genomic information.
An image representation based convolutional network for DNA classification
The folding structure of the DNA molecule combined with helper molecules, also referred to as the chromatin, is highly relevant for the functional properties of DNA.
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