Theodore J. Perkins

Theodore J. Perkins

Ottawa University

H-index: 33

North America-United States

About Theodore J. Perkins

Theodore J. Perkins, With an exceptional h-index of 33 and a recent h-index of 23 (since 2020), a distinguished researcher at Ottawa University, specializes in the field of Bioinformatics, Computational Biology, Machine Learning, Gene Regulation, Image Analysis.

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

Machine Learning Analysis of Bleeding Status in Venous Thromboembolism Patients

Empirical Bayes single nucleotide variant-calling for next-generation sequencing data

A Deep Learning Approach to Predict Bleeding Risk Over Time in Patients on Extended Anticoagulation Therapy

Transcriptional reprogramming of skeletal muscle stem cells by the niche environment

Predicting Major Bleeding in Patients with Venous Thromboembolism on Extended Anticoagulation Therapy Using Follow-up Data and Long Short-Term Memory Based Recurrent Neural Network

A Markov constraint to uniquely identify elementary flux mode weights in unimolecular metabolic networks

A Model of Cell Population Dynamics in Skeletal Muscle Regeneration

BATL: Bayesian annotations for targeted lipidomics

Theodore J. Perkins Information

University

Position

Ottawa Hospital Research Institute

Citations(all)

3762

Citations(since 2020)

1630

Cited By

2790

hIndex(all)

33

hIndex(since 2020)

23

i10Index(all)

61

i10Index(since 2020)

42

Email

University Profile Page

Ottawa University

Google Scholar

View Google Scholar Profile

Theodore J. Perkins Skills & Research Interests

Bioinformatics

Computational Biology

Machine Learning

Gene Regulation

Image Analysis

Top articles of Theodore J. Perkins

Title

Journal

Author(s)

Publication Date

Machine Learning Analysis of Bleeding Status in Venous Thromboembolism Patients

Research and Practice in Thrombosis and Haemostasis

Soroush Shahryari Fard

Theodore J Perkins

Philip S Wells

2024/4/3

Empirical Bayes single nucleotide variant-calling for next-generation sequencing data

Scientific Reports

Ali Karimnezhad

Theodore J Perkins

2024/1/18

A Deep Learning Approach to Predict Bleeding Risk Over Time in Patients on Extended Anticoagulation Therapy

Journal of Thrombosis and Haemostasis

Soroush Shahryari Fard

Theodore J Perkins

Philip S Wells

2024/4/19

Transcriptional reprogramming of skeletal muscle stem cells by the niche environment

Nature Communications

Felicia Lazure

Rick Farouni

Korin Sahinyan

Darren M Blackburn

Aldo Hernández-Corchado

...

2023/2/1

Predicting Major Bleeding in Patients with Venous Thromboembolism on Extended Anticoagulation Therapy Using Follow-up Data and Long Short-Term Memory Based Recurrent Neural Network

Blood

Soroush Shahryari Fard

Theodore J Perkins

Philip Stephen Wells

2023/11/28

A Markov constraint to uniquely identify elementary flux mode weights in unimolecular metabolic networks

Journal of Theoretical Biology

Justin G Chitpin

Theodore J Perkins

2023/11/7

A Model of Cell Population Dynamics in Skeletal Muscle Regeneration

Renad Al-Ghazawi

Theodore J Perkins

Xiaojian Shao

2023/9/3

BATL: Bayesian annotations for targeted lipidomics

Bioinformatics

Justin G Chitpin

Anuradha Surendra

Thao T Nguyen

Graeme P Taylor

Hongbin Xu

...

2022/3/15

Quantification of Muscle Satellite Stem Cell Divisions by High-Content Analysis

William Chen

Theodore J Perkins

Michael A Rudnicki

2022/11/19

Costs of Next-Generation Sequencing Assays in Non-Small Cell Lung Cancer: A Micro-Costing Study

Current Oncology

Srishti Kumar

Alexandria Bennett

Pearl A Campbell

Gareth Palidwor

Bryan Lo

...

2022/7/23

Cell type specific DNA signatures of transcription factor binding

bioRxiv

Aseel Awdeh

Marcel Turcotte

Theodore J Perkins

2022/7/18

KDR signaling in muscle stem cells promotes asymmetric division and progenitor generation for efficient regeneration

bioRxiv

William Chen

Yu Xin Wang

Morten Ritso

Theodore J Perkins

Michael A Rudnicki

2022/6/27

WACS: improving ChIP-seq peak calling by optimally weighting controls

BMC bioinformatics

Aseel Awdeh

Marcel Turcotte

Theodore J Perkins

2021/12

Absolute quantification of transcription factors reveals principles of gene regulation in erythropoiesis

Molecular cell

Mark A Gillespie

Carmen G Palii

Daniel Sanchez-Taltavull

Paul Shannon

William JR Longabaugh

...

2020/6/4

Establishment of macaque trophoblast stem cell lines derived from cynomolgus monkey blastocysts

Scientific reports

Shoma Matsumoto

Christopher J Porter

Naomi Ogasawara

Chizuru Iwatani

Hideaki Tsuchiya

...

2020/4/22

Bayesian correlation is a robust gene similarity measure for single-cell RNA-seq data

NAR genomics and bioinformatics

Daniel Sanchez-Taltavull

Theodore J Perkins

Noelle Dommann

Nicolas Melin

Adrian Keogh

...

2020/3

Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry

STAR protocols

Mark A Gillespie

Carmen G Palii

Daniel Sanchez-Taltavull

Theodore J Perkins

Marjorie Brand

...

2020/12/18

Myf6/MRF4 is a myogenic niche regulator required for the maintenance of the muscle stem cell pool

EMBO reports

Felicia Lazure

Darren M Blackburn

Aldo H Corchado

Korin Sahinyan

Nabila Karam

...

2020/12/3

Accuracy and reproducibility of somatic point mutation calling in clinical-type targeted sequencing data

bioRxiv

Ali Karimnezhad

Gareth A Palidwor

Kednapa Thavorn

David J Stewart

Pearl A Campbell

...

2019/1/1

See List of Professors in Theodore J. Perkins University(Ottawa University)

Co-Authors

H-index: 109
Michael A. Rudnicki

Michael A. Rudnicki

University of Ottawa

H-index: 78
Leon Glass

Leon Glass

McGill University

H-index: 63
Doina Precup

Doina Precup

McGill University

H-index: 15
Parameswaran Ramachandran

Parameswaran Ramachandran

University of Toronto

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