Brendan Frey

Brendan Frey

University of Toronto

H-index: 80

North America-Canada

About Brendan Frey

Brendan Frey, With an exceptional h-index of 80 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Drug development, Artificial Intelligence, Machine learning, Computational biology, Genome biology.

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

Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network

System and method for training neural networks

Systems and methods for generating and training convolutional neural networks using biological sequences and relevance scores derived from structural, biochemical, population …

Splicing Up Your Predictions with RNA Contrastive Learning

Methods and systems for producing an expanded training set for machine learning using biological sequences

An RNA foundation model enables discovery of disease mechanisms and candidate therapeutics

Systems and methods for determining effects of therapies and genetic variation on polyadenylation site selection

A graph neural network approach for molecule carcinogenicity prediction

Brendan Frey Information

University

Position

Founder & CEO Deep Genomics; Co-Founder Vector Institute; Professor

Citations(all)

54840

Citations(since 2020)

20953

Cited By

43360

hIndex(all)

80

hIndex(since 2020)

47

i10Index(all)

188

i10Index(since 2020)

99

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Brendan Frey Skills & Research Interests

Drug development

Artificial Intelligence

Machine learning

Computational biology

Genome biology

Top articles of Brendan Frey

Title

Journal

Author(s)

Publication Date

Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network

2024/1/30

System and method for training neural networks

2023/6/20

Systems and methods for generating and training convolutional neural networks using biological sequences and relevance scores derived from structural, biochemical, population …

2023/4/25

Splicing Up Your Predictions with RNA Contrastive Learning

arXiv preprint arXiv:2310.08738

Philip Fradkin

Ruian Shi

Bo Wang

Brendan Frey

Leo J Lee

2023/10/12

Methods and systems for producing an expanded training set for machine learning using biological sequences

2023/9/26

An RNA foundation model enables discovery of disease mechanisms and candidate therapeutics

Brendan Frey

Albi Celaj

Alice Gao

Tammy Lau

Erle Holgersen

...

2023/9/25

Systems and methods for determining effects of therapies and genetic variation on polyadenylation site selection

2022/10/20

A graph neural network approach for molecule carcinogenicity prediction

Bioinformatics

Philip Fradkin

Adamo Young

Lazar Atanackovic

Brendan Frey

Leo J Lee

...

2022/7/1

RTfold: RNA secondary structure prediction using deep learning with domain inductive bias

The 2022 ICML Workshop on Computational Biology. Baltimore, Maryland, USA

Andrew J Jung

Leo J Lee

Alice J Gao

Brendan J Frey

2022

Neural network architectures for linking biological sequence variants based on molecular phenotype, and systems and methods therefor

2021/12/30

UNIVERSITY OF PENNSYLVANIA-PERELMAN SCHOOL OF MEDICINE

Sharon J Diskin

2019/7/30

ATP7B variant c.1934T > G p.Met645Arg causes Wilson disease by promoting exon 6 skipping

NPJ genomic medicine

Daniele Merico

Carl Spickett

Matthew O’Hara

Boyko Kakaradov

Amit G Deshwar

...

2020/4/8

Systems and Methods for Determining Effects of Genetic Variation of Splice Site Selection

2020/3/12

HiCSR: a Hi-C super-resolution framework for producing highly realistic contact maps

Michael Dimmick

2020

See List of Professors in Brendan Frey University(University of Toronto)

Co-Authors

H-index: 159
Janet Rossant

Janet Rossant

University of Toronto

H-index: 157
Scherer, Stephen W.

Scherer, Stephen W.

University of Toronto

H-index: 111
Charles Boone

Charles Boone

University of Toronto

H-index: 101
Timothy R. Hughes

Timothy R. Hughes

University of Toronto

H-index: 88
Benjamin J. Blencowe

Benjamin J. Blencowe

University of Toronto

H-index: 76
David MacKay

David MacKay

University of Cambridge

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