Issa Zakeri

Mcadet: a feature selection method for fine-resolution single-cell RNA-seq data based on multiple correspondence analysis and community detection

Mcadet improves feature selection in scRNA-seq by integrating MCA and community detection, showing better performance on fine-resolution and rare cell type datasets.

Imbalance and Composition Correction Ensemble Learning Framework (ICCELF): A novel framework for automated scRNA-seq cell type annotation

The paper introduces ICCELF, a framework for automated scRNA-seq cell type annotation that addresses class imbalance and data compositionality, improving annotation accuracy.

Functional Near Infrared Spectroscopy (fNIRS) based Odor Detection and Classification using Functional Data Analysis

This study uses fNIRS and FDA to classify odor detection with high accuracy, showing that fNIRS can distinguish odorant and non-odorant stimuli without motor interference.