Leo J. Lee

Leo J. Lee

University of Toronto

H-index: 29

North America-Canada

About Leo J. Lee

Leo J. Lee, With an exceptional h-index of 29 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Computational Biology, Machine Learning.

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

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

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

Splicing Up Your Predictions with RNA Contrastive Learning

A novel proteogenomic integration strategy expands the breadth of neo-epitope sources

Fibrin clot characteristics and anticoagulant response in a SARS‐CoV‐2‐infected endothelial model

IntroSpect: Motif-guided immunopeptidome database building tool to improve the sensitivity of HLA I binding peptide identification by mass spectrometry

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

Energy-based Modelling for Single-cell Data Annotation

Leo J. Lee Information

University

Position

Senior Research Scientist

Citations(all)

10299

Citations(since 2020)

4518

Cited By

6747

hIndex(all)

29

hIndex(since 2020)

18

i10Index(all)

40

i10Index(since 2020)

28

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Leo J. Lee Skills & Research Interests

Computational Biology

Machine Learning

Top articles of Leo J. Lee

Title

Journal

Author(s)

Publication Date

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Advances in Neural Information Processing Systems

Lazar Atanackovic

Alexander Tong

Bo Wang

Leo J Lee

Yoshua Bengio

...

2024/2/13

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

2024/1/30

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

A novel proteogenomic integration strategy expands the breadth of neo-epitope sources

Cancers

Haitao Xiang

Le Zhang

Fanyu Bu

Xiangyu Guan

Lei Chen

...

2022/6/19

Fibrin clot characteristics and anticoagulant response in a SARS‐CoV‐2‐infected endothelial model

EJHaem

Conor McCafferty

Leo Lee

Tengyi Cai

Slavica Praporski

Julian Stolper

...

2022/5

IntroSpect: Motif-guided immunopeptidome database building tool to improve the sensitivity of HLA I binding peptide identification by mass spectrometry

Biomolecules

Le Zhang

Geng Liu

Guixue Hou

Haitao Xiang

Xi Zhang

...

2022/4/14

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

Energy-based Modelling for Single-cell Data Annotation

Tianyi Liu

Philip Fradkin

Lazar Atanackovic

Leo J Lee

2022/12/19

A graph neural network approach for molecule carcinogenicity prediction

Bioinformatics

Philip Fradkin

Adamo Young

Lazar Atanackovic

Brendan Frey

Leo J Lee

...

2022/7/1

BET inhibition blocks inflammation-induced cardiac dysfunction and SARS-CoV-2 infection

Cell

Richard J Mills

Sean J Humphrey

Patrick RJ Fortuna

Mary Lor

Simon R Foster

...

2021/4/15

Discovery of drugs to treat cytokine storm-induced cardiac dysfunction using human cardiac organoids

Richard J Mills

Sean J Humphrey

Partrick RJ Fortuna

Mary Lor

Simon R Foster

...

2020

Bromodomain Inhibition Blocks Inflammation-Induced Cardiac Dysfunction and SARS-CoV2 Infection

Richard J Mills

Sean Humphrey

Patrick RJ Fortuna

Gregory Quaife-Ryan

Mary Lor

...

2020/11/6

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

Michael Dimmick

2020

Key parameters of tumor epitope immunogenicity revealed through a consortium approach improve neoantigen prediction

Cell

Daniel K Wells

Marit M van Buuren

Kristen K Dang

Vanessa M Hubbard-Lucey

Kathleen CF Sheehan

...

2020/10/29

The co-stimulation of anti-CD28 and IL-2 enhances the sensitivity of ELISPOT assays for detection of neoantigen-specific T cells in PBMC

Journal of immunological methods

Yunxia Tang

Linnan Zhu

Qumiao Xu

Xiuqing Zhang

Bo Li

...

2020/9/1

ADAR1-dependent RNA editing promotes MET and iPSC reprogramming by alleviating ER stress

Cell Stem Cell

Diana Guallar

Alejandro Fuentes-Iglesias

Yara Souto

Cristina Ameneiro

Oscar Freire-Agulleiro

...

2020/8/6

Memory-Based Graph Networks

arXiv e-prints

Amir Hosein Khasahmadi

Kaveh Hassani

Parsa Moradi

Leo Lee

Quaid Morris

2020/2

See List of Professors in Leo J. Lee University(University of Toronto)

Co-Authors

H-index: 88
Benjamin J. Blencowe

Benjamin J. Blencowe

University of Toronto

H-index: 80
Brendan Frey

Brendan Frey

University of Toronto

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