7 citations · 8 across the 4 of their papers we have counts for
4 papers
MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation
Chao-Jung Wu, Amine M. Remita, Abdoulaye Baniré Diallo
The emergence of the Next Generation Sequencing increases drastically the volume of transcriptomic data. Although many standalone algorithms and workflows for novel microRNA (miRNA…
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference
Amine M. Remita, Golrokh Vitae, Abdoulaye Baniré Diallo
The advances in variational inference are providing promising paths in Bayesian estimation problems. These advances make variational phylogenetic inference an alternative approach…
EvoVGM: a Deep Variational Generative Model for Evolutionary Parameter Estimation
Amine M. Remita, Abdoulaye Baniré Diallo
Most evolutionary-oriented deep generative models do not explicitly consider the underlying evolutionary dynamics of biological sequences as it is performed within the Bayesian phy…
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses
Amine M. Remita, Abdoulaye Baniré Diallo
Viral sequence classification is an important task in pathogen detection, epidemiological surveys and evolutionary studies. Statistical learning methods are widely used to classify…