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ORCIDNadia Tahiri
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2020 – today
- 2024
[j6]Mahsa Farnia, Nadia Tahiri
:
New generalized metric based on branch length distance to compare B cell lineage trees. Algorithms Mol. Biol. 19(1): 22 (2024)- [j5]Aleksandr Koshkarov, Nadia Tahiri:
Novel Algorithm for Comparing Phylogenetic Trees with Different but Overlapping Taxa. Symmetry 16(7): 790 (2024) - [c5]Bertrand Marchand, Nadia Tahiri, Olivier Tremblay Savard, Manuel Lafond:
Finding Maximum Common Contractions Between Phylogenetic Networks. WABI 2024: 16:1-16:24 - [i2]Bertrand Marchand, Nadia Tahiri, Olivier Tremblay Savard, Manuel Lafond:
Finding Maximum Common Contractions Between Phylogenetic Networks. CoRR abs/2405.16713 (2024) - 2023
- [c4]Aleksandr Koshkarov, Nadia Tahiri:
GPTree: Generator of Phylogenetic Trees with Overlapping and Biological Events for Supertree Inference. BIOINFORMATICS 2023: 212-219 - [c3]Mouhamadou Moustapha Mbaye, Fadi M. H. Abu Salem, Nadia Tahiri:
A new machine learning workflow to create an optimal waiting list in hospitals. ICMHI 2023: 159-163 - [i1]Vladimir Makarenkov, Gayane S. Barseghyan, Nadia Tahiri:
Inferring multiple consensus trees and supertrees using clustering: a review. CoRR abs/2301.00483 (2023) - 2022
- [j4]Nadia Tahiri, Bernard Fichet, Vladimir Makarenkov:
Building alternative consensus trees and supertrees using k-means and Robinson and Foulds distance. Bioinform. 38(13): 3367-3376 (2022) - [j3]Nadia Tahiri, Andrey Veriga, Aleksandr Koshkarov, Boris Morozov:
Invariant transformers of Robinson and Foulds distance matrices for Convolutional Neural Network. J. Bioinform. Comput. Biol. 20(4): 2250012:1-2250012:14 (2022) - [c2]Aleksandr Koshkarov, Wanlin Li, My-Linh Luu, Nadia Tahiri:
Phylogeography: Analysis of genetic and climatic data of SARS-CoV-2. SciPy 2022: 159-166 - 2021
- [j2]Esaie Kuitche, Yanchun Qi, Nadia Tahiri, Jack Parmer, Aïda Ouangraoua:
DoubleRecViz: a web-based tool for visualizing transcript-gene-species tree reconciliation. Bioinform. 37(13): 1920-1922 (2021)
2010 – 2019
- 2019
- [c1]Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov:
An intelligent shopping list based on the application of partitioning and machine learning algorithms. SciPy 2019: 85-92 - 2014
- [j1]Matthieu Willems, Nadia Tahiri, Vladimir Makarenkov:
A new efficient algorithm for inferring explicit hybridization networks following the Neighbor-Joining principle. J. Bioinform. Comput. Biol. 12(5) (2014)
Coauthor Index
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