In this thesis, the focus is set on reconciling the realms of structure and sequence for protein analysis. Sequence analysis tools shine when faced with proteins presenting high sequence identity (≤ 30\%), but are lack - luster when it comes to remote homolog detection. Structural analysis tools present an interesting alternative, but solving...
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November 21, 2018 (v1)PublicationUploaded on: December 4, 2022
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July 29, 2018 (v1)Publication
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July 30, 2018 (v1)Publication
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July 29, 2018 (v1)Publication
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March 9, 2019 (v1)Journal article
The root mean square deviation (RMSD) and the least RMSD are two widely used similarity measures in structural bioinformatics. Yet, they stem from global comparisons, possibly obliterating locally conserved motifs. We correct these limitations with the so-called combined RMSD, which mixes independent lRMSD measures, each computed with its own...
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December 2016 (v1)Report
Clustering is a fundamental problem in data science, yet, the variety of clustering methods and their sensitivity to parameters make clustering hard. To analyze the stability of a given clustering algorithm while varying its parameters, and to compare clusters yielded by different algorithms, several comparison schemes based on matchings,...
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December 17, 2019 (v1)Journal article
Clustering is a fundamental problem in data science, yet, the variety of clusteringmethods and their sensitivity to parameters make clustering hard. To analyze the stability of agiven clustering algorithm while varying its parameters, and to compare clusters yielded by differentalgorithms, several comparison schemes based on matchings,...
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April 26, 2017 (v1)Report
Clustering is a fundamental problem in data science, yet, the variety of clustering methods and their sensitivity to parameters make clustering hard. To analyze the stability of a given clustering algorithm while varying its parameters, and to compare clusters yielded by different algorithms, several comparison schemes based on matchings,...
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May 29, 2018 (v1)Conference paper
Le clustering est une tâche essentielle en analyse de données. La variété des méthodes disponibles rend celle-ci ardue. Diverses stratégies ont été proposées pour analyser la stabilité d'un clustering en fonction des paramètres de l'algorithme l'ayant généré, ou pour comparer des clusterings produits par des algorithmes différents. Dans cet...
Uploaded on: December 4, 2022