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ROCR: visualizing classifier performance in R
TLDR
UNLABELLED ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R. Expand
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Permutation importance: a corrected feature importance measure
MOTIVATION In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessingExpand
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Bioinformatics prediction of HIV coreceptor usage
TLDR
As sequencing technology and prediction algorithms improve, HIV genotyping and coreceptor usage prediction are likely to play an increasingly important role in guiding patient prognosis and treatment selection. Expand
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A generic grid interface for parallel and adaptive scientific computing. Part II: implementation and tests in DUNE
TLDR
In a companion paper (Bastian et al. 2007, this issue) we introduced and formally defined a generic grid interface for parallel scientific computing. Expand
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A generic grid interface for parallel and adaptive scientific computing. Part I: abstract framework
TLDR
We give a mathematically rigorous definition of a grid for algorithms solving partial differential equations. Expand
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The Distributed and Unified Numerics Environment,Version 2.4
The Dune project has released version 2.4 on September 25, 2015. This paper describes the most significant improvements, interface and other changes for the Dune core modules Dune- Common,Expand
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Structural Descriptors of gp120 V3 Loop for the Prediction of HIV-1 Coreceptor Usage
TLDR
We show, based on a recently resolved structure of gp120 with an untruncated V3 loop, that using structural information on the third hypervariable (V3) loop in combination with sequence features of V3 variants improves prediction of coreceptor usage. Expand
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Local protein structure prediction using discriminative models
TLDR
We developed a local structure prediction method to be integrated into either fold recognition or new fold prediction methods to improve alignment quality and the overall prediction accuracy. Expand
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Geodesic finite elements on simplicial grids
SUMMARY We introduce geodesic finite elements as a conforming way to discretize partial differential equations for functions v : Ω → M, where Ω is an open subset of Rd and M is a RiemannianExpand
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Geodesic finite elements for Cosserat rods
We introduce geodesic finite elements as a new way to discretize the non-linear configuration space of a geometrically exact Cosserat rod. These geodesic finite elements naturally generalize standardExpand
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