Luis Rueda

Luis Rueda

University of Windsor

H-index: 25

North America-Canada

About Luis Rueda

Luis Rueda, With an exceptional h-index of 25 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Windsor, specializes in the field of machine learning, transcriptomics, cancer biomarkers, single-cell RNA-seq, cybersecurity.

His recent articles reflect a diverse array of research interests and contributions to the field:

PPPCT: Privacy-Preserving framework for Parallel Clustering Transcriptomics data

Comparative genomic analysis to identify a signature of sporadic colorectal cancer development in young adults.

Cell Type Annotation Model Selection: General-Purpose vs. Pattern-Aware Feature Gene Selection in Single-Cell RNA-Seq Data

Machine Learning Methods for Multi-Omics Data Integration

Comprehensive gene sequencing to identify progression predictors to muscle-invasive bladder cancer.

Robust Emotion Recognition in EEG Signals Based on a Combination of Multiple Domain Adaptation Techniques

Applications of deep learning in disease diagnosis of chest radiographs: A survey on materials and methods

Lung nodule segmentation on ct scan images using patchwise iterative graph clustering

Luis Rueda Information

University

Position

Professor School of Computer Science

Citations(all)

2262

Citations(since 2020)

972

Cited By

1600

hIndex(all)

25

hIndex(since 2020)

16

i10Index(all)

67

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Luis Rueda Skills & Research Interests

machine learning

transcriptomics

cancer biomarkers

single-cell RNA-seq

cybersecurity

Top articles of Luis Rueda

Title

Journal

Author(s)

Publication Date

PPPCT: Privacy-Preserving framework for Parallel Clustering Transcriptomics data

Computers in Biology and Medicine

Ali Abbasi Tadi

Dima Alhadidi

Luis Rueda

2024/5/1

Comparative genomic analysis to identify a signature of sporadic colorectal cancer development in young adults.

Abedalrhman Alkhateeb

Eesha Atikukke

Akram El Keilani

Tarek A Elfiki

Julianna Orlando

...

2024/1/20

Cell Type Annotation Model Selection: General-Purpose vs. Pattern-Aware Feature Gene Selection in Single-Cell RNA-Seq Data

Genes

Akram Vasighizaker

Yash Trivedi

Luis Rueda

2023/2/26

Machine Learning Methods for Multi-Omics Data Integration

Abedalrhman Alkhateeb

Luis Rueda

2023/11/13

Comprehensive gene sequencing to identify progression predictors to muscle-invasive bladder cancer.

Jocelyne Brianna Cyrenne

Sindu Mary Kanjeekal

Lisa Porter

Dora Cavallo-Medved

Bre-Anne Fifield

...

2023/2/20

Robust Emotion Recognition in EEG Signals Based on a Combination of Multiple Domain Adaptation Techniques

Alireza Mirzaee

Mojtaba Kordestani

Luis Rueda

Mehrdad Saif

2023/10/1

Applications of deep learning in disease diagnosis of chest radiographs: A survey on materials and methods

Sudipta Modak

Esam Abdel-Raheem

Luis Rueda

2023/6/1

Lung nodule segmentation on ct scan images using patchwise iterative graph clustering

Sudipta Modak

Esam Abdel-Raheem

Luis Rueda

2023/5/21

A Fecal-Microbial-Extracellular-Vesicles-Based Metabolomics Machine Learning Framework and Biomarker Discovery for Predicting Colorectal Cancer Patients

Metabolites

Fatma Hilal Yagin

Abedalrhman Alkhateeb

Cemil Colak

Mohammad Azzeh

Burak Yagin

...

2023/4/25

Examining the Performance of Melanoma Classification using Superpixel Segmentation: A Comparative Analysis

Faezeh Mohammadi Aydoghmishi

Sudipta Modak

Esam Abdel-Raheem

Luis Rueda

2023/12/17

New condition-based monitoring and fusion approaches with a bounded uncertainty for bearing lifetime prediction

IEEE Sensors Journal

Mojtaba Kordestani

Milad Rezamand

Marcos E Orchard

Rupp Carriveau

David SK Ting

...

2022/3/14

Heart disease prediction using adaptive infinite feature selection and deep neural networks

Sudipta Modak

Esam Abdel-Raheem

Luis Rueda

2022/2/21

DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification

Alexandru Filip

Shaghayegh Sadeghi

Alioune Ngom

Luis Rueda

2022/8/26

Guest editorial:: Deep neural networks for precision medicine

Fang-Xiang Wu

Min Li

Lukasz Kurgan

Luis Rueda

2022/1/16

Comparative Analysis of Supervised Cell Type Detection in Single-Cell RNA-seq Data

Akram Vasighizaker

Sheena Hora

Yash Trivedi

Luis Rueda

2022/6/8

Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq data

Scientific reports

Akram Vasighizaker

Saiteja Danda

Luis Rueda

2022/1/7

NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks.

Ali Abbasi Tadi

Luis Rueda

Dima Alhadidi

2022/5/21

Computationally repurposing drugs for breast cancer subtypes using a network-based approach

BMC bioinformatics

Forough Firoozbakht

Iman Rezaeian

Luis Rueda

Alioune Ngom

2022/4/20

Spam review detection using self-organizing maps and convolutional neural networks

Computers & security

Ashraf Neisari

Luis Rueda

Sherif Saad

2021/7/1

The circadian clock gene, Bmal1, regulates intestinal stem cell signaling and represses tumor initiation

Cellular and molecular gastroenterology and hepatology

Kyle Stokes

Malika Nunes

Chantelle Trombley

Danilo EFL Flôres

Gang Wu

...

2021/1/1

See List of Professors in Luis Rueda University(University of Windsor)

Co-Authors

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