List of works - Hamse Y Mussa

A multi-label approach to target prediction taking ligand promiscuity into account

scientific article (publication date: 2015)

A note on utilising binary features as ligand descriptors

scientific article (publication date: 2015)

Classifying large chemical data sets: using a regularized potential function method

scientific article

Classifying molecules using a sparse probabilistic kernel binary classifier.

scientific article

Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers

scientific article (publication date: 2014)

Enzyme mechanism prediction: a template matching problem on InterPro signature subspaces

scientific article published on 3 December 2015

Full “Laplacianised” posterior naive Bayesian algorithm ⬇️

scientific article published on August 23, 2013

In silico target predictions: defining a benchmarking data set and comparison of performance of the multiclass Naïve Bayes and Parzen-Rosenblatt window

scientific article

Molecular similarity searching using atom environments, information-based feature selection, and a naïve Bayesian classifier

scientific article

Molecular surface point environments for virtual screening and the elucidation of binding patterns (MOLPRINT 3D).

scientific article published in December 2004

Note on naive Bayes based on binary descriptors in cheminformatics

scientific article published on 17 September 2012

Predicting the mechanism of phospholipidosis

scientific article published on 26 January 2012

Probabilistic classifier: generated using randomised sub-sampling of the feature space.

scientific article

Probability Based hERG Blocker Classifiers

scientific article published on 07 September 2012

Screening for dihydrofolate reductase inhibitors using MOLPRINT 2D, a fast fragment-based method employing the naïve Bayesian classifier: limitations of the descriptor and the importance of balanced chemistry in training and test sets

scientific article published on 16 September 2005

Similarity searching of chemical databases using atom environment descriptors (MOLPRINT 2D): evaluation of performance

scientific article published on 01 September 2004

The Parzen Window method: In terms of two vectors and one matrix

scientific article published on October 2015

Verifying the fully “Laplacianised” posterior Naïve Bayesian approach and more

scientific article (publication date: 2015)

List of works by Hamse Y Mussa

A multi-label approach to target prediction taking ligand promiscuity into account

A note on utilising binary features as ligand descriptors

Classifying large chemical data sets: using a regularized potential function method

Classifying molecules using a sparse probabilistic kernel binary classifier.

Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers

Enzyme mechanism prediction: a template matching problem on InterPro signature subspaces

Full “Laplacianised” posterior naive Bayesian algorithm ⬇️

In silico target predictions: defining a benchmarking data set and comparison of performance of the multiclass Naïve Bayes and Parzen-Rosenblatt window

Molecular similarity searching using atom environments, information-based feature selection, and a naïve Bayesian classifier

Molecular surface point environments for virtual screening and the elucidation of binding patterns (MOLPRINT 3D).

Note on naive Bayes based on binary descriptors in cheminformatics

Predicting the mechanism of phospholipidosis

Probabilistic classifier: generated using randomised sub-sampling of the feature space.

Probability Based hERG Blocker Classifiers

Screening for dihydrofolate reductase inhibitors using MOLPRINT 2D, a fast fragment-based method employing the naïve Bayesian classifier: limitations of the descriptor and the importance of balanced chemistry in training and test sets

Similarity searching of chemical databases using atom environment descriptors (MOLPRINT 2D): evaluation of performance

The Parzen Window method: In terms of two vectors and one matrix

Verifying the fully “Laplacianised” posterior Naïve Bayesian approach and more