(For a full list see below or go to Google Scholar, ResearcherID, researchgate)
Predicting Breast Milk:Serum Partitioning Using QSAR Models
Satori A. Marchitti; Marc-André Verner, Nadia Tahiri, Caleb Dillingham, Daniel Chang, Judy S. LaKind, Erin Hines, Suzanne Fenton, John F. Kennek, and Michael-Rock Goldsmith
In progress
Building alternative consensus trees and supertrees using kmeans and Robinson and Foulds distance
Nadia Tahiri, Bernard Fichet, and Vladimir Makarenkov
Submitted to PLOS Computational Biology
Invariant transformers of Robinson-Foulds distance matrices for convolutional neural network
Nadia Tahiri, Andrey Veriga, Aleksandr Koshkarov, and Boris Morozov
Submitted to Journal of Bioinformatics and Computational Biology
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, Accepted (the first two authors are equal contributors and listed in alphabetical order)
DoubleRecViz: A Web-Based Tool for Visualizing Transcript-Gene-Species reconciliation
Esaie Kuitche, Yanchun Qi, Nadia Tahiri, Jack Parmer, and Aïda Ouangraoua
Bioinformatics, 37(13), 1920-1922
A new fast method for inferring multiple consensus trees using k-medoids
Nadia Tahiri, Matthieu Willems, and Vladimir Makarenkov
BMC evolutionary biology, 18(1), 1-12
Building explicit hybridization networks using the maximum likelihood and Neighbor-Joining approaches
Matthieu Willems, Nadia Tahiri, and Vladimir Makarenkov
Archives of Data Science, Series A. 4(1), 1-17
A new efficient algorithm for inferring explicit hybridization networks following the Neighbor-Joining principle
Matthieu Willems, Nadia Tahiri, and Vladimir Makarenkov
Journal of Bioinformatics and Computational Biology, 12(5), 1450024
Predicting Breast Milk:Serum Partitioning Using QSAR Models
Satori A. Marchitti; Marc-André Verner, Nadia Tahiri, Caleb Dillingham, Daniel Chang, Judy S. LaKind, Erin Hines, Suzanne Fenton, John F. Kennek, and Michael-Rock Goldsmith
In progress
Predicting Breast Milk:Serum Partitioning Using QSAR Models
Satori A. Marchitti; Marc-André Verner, Nadia Tahiri, Caleb Dillingham, Daniel Chang, Judy S. LaKind, Erin Hines, Suzanne Fenton, John F. Kennek, and Michael-Rock Goldsmith
In progress