Efficient peptide-MHC-I binding prediction for alleles with few known binders

By Laurent Jacob, Jean-Philippe Vert. 2008

147 citations recorded by the source corpus.

Subfields: Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging

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Citations in the corpus

Clustered Multi-Task Learning: A Convex Formulation (2008, background): “Multi-task learning approaches have already proved useful for this problem, see for example [11, 12].”
ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples (2011, methodology): “Kdisease is a kernel between diseases, which allows sharing of information across diseases, as in classical multitask learning with kernels [19-21].”
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization (2008, background): “This strategy is a classical approach to learn a function over pairs of points (see, e.g., Jacob and Vert, 2008).”
Flexible Clustered Multi-Task Learning by Learning Representative Tasks (2016, background): “The new approach allows an arbitrary task to be described by multiple representative tasks, effectively soft-assigning a task to multiple clusters with different weights.”
Novel Machine Learning Methods for MHC Class I Binding Prediction (2010, methodology): “They have been successfully applied to various problems in computational biology, ranging from protein remote homology detection [10],to gene identification [16, 20], to drug design [8].”
Inferring latent task structure for Multitask Learning by Multiple Kernel Learning (2010, background): “Starting from a special case, where there exists a single meta-task consisting of all tasks (standard MTL), we show that inferring the latent structure can be cast as a Multiple Kernel Learning problem, where the base kernels are defined with respected to Dirac kernels [9] that establish relatedness”
Protein-ligand interaction prediction: an improved chemogenomics approach (2008, unknown): “This approach is similar to the approaches proposed in the context of MHC-I-peptide binding prediction (Jacob and Vert, 2008) and in (Erhan et al., 2006).”
NetMHCpan, a method for MHC class I binding prediction beyond humans (2008, unknown): “Recently, several groups have developed prediction methods designed to provide broad allelic coverage of the MHC polymorphism (Jacob and Vert 2008; Jojic et al. 2006; Nielsen et al. 2007; Zhang et al. 2005).”
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation (2011, background): “This field moreover constitutes an excellent application area for MTL [12, 22].”
A Survey of Transfer and Multitask Learning in Bioinformatics (2011, methodology): “These allele kernels include the multitask kernel and supertype kernel [32].”