Publications

Group highlights

(For a full list see below or go to Google Scholar, ResearcherID, researchgate)

Full List

In Preparation

2025

  • k-Nearest Common Leaves algorithm for phylogenetic tree completion and comparison
    Aleksandr Koshkarov and Nadia Tahiri
  • A polynomial-time algorithm for completing overlapping phylogenetic tree sets
    Aleksandr Koshkarov and Nadia Tahiri
  • New method for assembling biological datasets of phylogenetic trees with overlapping taxa
    Aleksandr Koshkarov and Nadia Tahiri
  • Quantum vs. Classical machine learning classification for hyperspectral data
    Ryan Godin, Nadia Tahiri, Nathaniel Newlands, and Étienne Lord
  • aPhyloGeo: a Python application for correlating genetic and climatic conditions
    Ana Laura Chenoweth Galaz and Nadia Tahiri
  • PhyloCartoPlot: A Python toolkit for integrating climate, environmental, biodiversity and genetic data in Madagascar
    Caroline Fortier and Nadia Tahiri
  • From climate to caffeine: environmental influences on wild coffea species in Madagascar
    Caroline Fortier and Nadia Tahiri

Journal Articles

2025

2024

  • New generalized metric based on branch length distance to compare B cell lineage trees
    Mahsa Farnia and Nadia Tahiri
    Algorithms for Molecular Biology, 19(22)
  • Comparison of phylogenetic trees defined on different but mutually overlapping sets of taxa: A review
    Wanlin Li, Aleksandr Koshkarov, and Nadia Tahiri
    Ecology and Evolution, 14(8), e70054
  • Host-Virus Cophylogenetic Trajectories: Investigating Molecular Relationships between Coronaviruses and Bat Hosts
    Wanlin Li and Nadia Tahiri
    Viruses, 16(7)
  • Novel Algorithm for Comparing Phylogenetic Trees with Different but Overlapping Taxa
    Aleksandr Koshkarov and Nadia Tahiri
    Symmetry, 16(7)

2023

  • GPTree Cluster: phylogenetic tree cluster generator in the context of supertree inference
    Aleksandr Koshkarov and Nadia Tahiri
    Bioinformatics Advances, 3(1)

2022

  • Intelligent personalized shoppingrecommendation using clustering andsupervised machine learning algorithms
    Nail Chabane, Achraf Bouaoune, Reda Tighilt, Moloud Abdar, Alix Boc, Étienne Lord, Nadia Tahiri, Bogdan Mazoure, Rajendra Acharya, and Vladimir Makarenkov
    PloS ONE, 17(12)
  • Invariant transformers of Robinson and Foulds distance matrices for Convolutional Neural Network
    Nadia Tahiri, Andrey Veriga, Aleksandr Koshkarov, and Boris Morozov
    Journal of Bioinformatics and Computational Biology, 20(4)
  • Building alternative consensus trees and supertrees using k-means and Robinson and Foulds distance
    Nadia Tahiri, Bernard Fichet, and Vladimir Makarenkov
    Bioinformatics, 38(13)
  • Quantitative structure-activity relationship (QSAR) modeling to predict the transfer of environmental chemicals across the placenta
    Laura Lévêque, Nadia Tahiri, Michael-Rock Goldsmith, and Marc-André Verner
    Computational Toxicology, Volume 21

2021

  • DoubleRecViz: a web-based tool for visualizing transcript–gene–species tree reconciliation
    Esaie Kuitche, Yanchun Qi, Nadia Tahiri, Jack Parmer, and Aïda Ouangraoua
    Bioinformatics, 37(13)

2019

  • A deep learning approach for building multiple trees classification
    Nadia Tahiri
    bioRxiv

2018

  • A new fast method for inferring multiple consensus trees using k-medoids
    Nadia Tahiri, Matthieu Willems, and Vladimir Makarenkov
    BMC Evolutionary Biology, 18(48)
  • Building explicit hybridization networks using the maximum likelihood and Neighbor-Joining approaches
    Matthieu Willems, Nadia Tahiri, and Vladimir Makarenkov
    Archives of Data Science, 4(1)

2015

2014

Book Chapters

2023

Conference Publications

2026

  • phyDBSCAN: phylogenetic tree density-based spatial clustering of applications with noise and automatically estimated hyperparameters
    Lida Hooshyar, Ryan Godin, Anna Argiges, and Nadia Tahiri

2025

2024

2023

2022

2020

2019

  • An intelligent shopping list based on the application of partitioning and machine learning algorithms
    Naida Tahiri, Bogdan Mazoure, and Vladimir Makarenkov
    SciPy-2019

2017