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PeerJ Editor, Author & Reviewer

2,945 Points

Contributions by role

Contributions by subject area

Othman Soufan

PeerJ Editor, Author & Reviewer

Summary

Assistant Professor, Alley Heaps Associate, Computer Science Department, St. Francis Xavier University. The Soufan Lab aims to advance life sciences by developing innovative methods, systems and resources for targeted knowledge discovery from biological data.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Computational Biology Data Mining & Machine Learning

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

McGill University

Work details

Assistant Professor

Sulaiman Alrajhi University

ended - December 2028

School of Business

Soufan Lab aims to advance life sciences by developing innovative methods, systems and resources for targeted knowledge discovery from biological data.

Websites

PeerJ Contributions

October 29, 2019

T1000: a reduced gene set prioritized for toxicogenomic studies

Othman Soufan, Jessica Ewald, Charles Viau, Doug Crump, Markus Hecker, Niladri Basu, Jianguo Xia

https://doi.org/10.7717/peerj.7975 PubMed 31681519

November 6, 2017

DANNP: an efficient artificial neural network pruning tool

Mona Alshahrani, Othman Soufan, Arturo Magana-Mora, Vladimir B. Bajic

https://doi.org/10.7717/peerj-cs.137

July 3, 2019 - Version: 1

T1000: A reduced toxicogenomics gene set for improved decision making

Othman Soufan, Jessica Ewald, Charles Viau, Doug Crump, Markus Hecker, Niladri Basu, Jianguo Xia

https://doi.org/10.7287/peerj.preprints.27839v1

Academic Editor on

August 5, 2025

Aligning to the teacher: multilevel feature-aligned knowledge distillation

Yang Zhang, Pan He, Chuanyun Xu, Jingyan Pang, Xiao Wang, Xinghai Yuan, Pengfei Lv, Gang Li

https://doi.org/10.7717/peerj-cs.3075

August 5, 2025

Text-guided RGB-P grasp generation

Van Duc Vu, Van Thiep Nguyen, Nam Hai Pham, Dinh-Cuong Hoang, Phan Xuan Tan

https://doi.org/10.7717/peerj-cs.3060

June 30, 2025

Deep context-attentive transformer transfer learning for financial forecasting

Ling Feng, Ananta Sinchai

https://doi.org/10.7717/peerj-cs.2983

November 4, 2022

Feature selection enhancement and feature space visualization for speech-based emotion recognition

Sofia Kanwal, Sohail Asghar, Hazrat Ali

https://doi.org/10.7717/peerj-cs.1091

January 5, 2022

Improving bioinformatics software quality through incorporation of software engineering practices

Adeeb Noor

https://doi.org/10.7717/peerj-cs.839

May 4, 2021

Multi-step rainfall forecasting using deep learning approach

Sanam Narejo, Muhammad Moazzam Jawaid, Shahnawaz Talpur, Rizwan Baloch, Eros Gian Alessandro Pasero

https://doi.org/10.7717/peerj-cs.514

April 27, 2021

Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images

Omneya Attallah, Fatma Anwar, Nagia M. Ghanem, Mohamed A. Ismail

https://doi.org/10.7717/peerj-cs.493

April 7, 2021

Entropy based C4.5-SHO algorithm with information gain optimization in data mining

G Sekhar Reddy, Suneetha Chittineni

https://doi.org/10.7717/peerj-cs.424

March 10, 2021

An efficient approach for low latency processing in stream data

Nirav Bhatt, Amit Thakkar

https://doi.org/10.7717/peerj-cs.426

February 18, 2021

Application and evaluation of knowledge graph embeddings in biomedical data

Mona Alshahrani, Maha A. Thafar, Magbubah Essack

https://doi.org/10.7717/peerj-cs.341

February 9, 2021

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species

Nikita Bhandari, Satyajeet Khare, Rahee Walambe, Ketan Kotecha

https://doi.org/10.7717/peerj-cs.365

January 28, 2021

MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks

Nisar Wani, Khalid Raza

https://doi.org/10.7717/peerj-cs.363

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

March 18, 2019

Integrated bioinformatics analysis of As, Au, Cd, Pb and Cu heavy metal responsive marker genes through Arabidopsis thaliana GEO datasets

Chao Niu, Min Jiang, Na Li, Jianguo Cao, Meifang Hou, Di-an Ni, Zhaoqing Chu

https://doi.org/10.7717/peerj.6495 PubMed 30918749