Author

Ahmad Pesaranghader

Mila - Quebec Artificial Intelligence InstituteORCID 0000-0002-0739-8475Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:imputation· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Jean‐Christophe GrenieriD· 2 shared Julie HussiniD· 2 shared Justin PelletieriD· 2 shared Raphaël PoujoliD· 2 shared Arnaud N’GuessaniD· 1 shared B. Jesse ShapiroiD· 1 shared Carmen Lía MuralliD· 1 shared David J. HameliniD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Jean‐Christophe GrenierORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Data-driven approaches for genetic characterization of SARS-CoV-2 lineages

Fatima Mostefai, Isabel Gamache, Jessie Huang, Arnaud N’Guessan, Justin Pelletier, Ahmad Pesaranghader, David J. Hamelin, Carmen Lía Murall, Raphaël Poujol, Jean‐Christophe Grenier, Martin A. Smith, Étienne Caron, Morgan Craig, B. Jesse Shapiro, Guy Wolf, , Julie Hussin

The paper presents computational tools for analyzing SARS-CoV-2 genetic data, showing that haplotype networks and unsupervised learning can reveal lineage emergence and population dynamics.

bioRxiv · Sep 28, 2021 · PreprintBioinformatics

ImputeCoVNet: 2D ResNet Autoencoder for Imputation of SARS-CoV-2 Sequences

Ahmad Pesaranghader, Justin Pelletier, Jean‐Christophe Grenier, Raphaël Poujol, Julie Hussin

ImputeCoVNet is a 2D ResNet Autoencoder for imputing missing SARS-CoV-2 variants, achieving accurate results at low allele frequencies with faster computation than Hamming distance methods.

bioRxiv · Aug 13, 2021 · PreprintBioinformatics