This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Dalhousie University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Neural network pruning and simultaneous feature and structure selection.
Neural networks : the official journal of the International Neural Network Society · 2026
Microbial predictors of sustained clinical remission following the Crohn's disease exclusion diet in adults and microbiome shifts toward healthy pediatric controls.
Crohn's & colitis 360 · 2026
Rank selection for non-negative matrix factorization.
Statistics in medicine · 2023
Latest funding
- $60,000
Statistical modeling, inference and methodology for analyzing multi-source omics data and computational molecular evolution
NSERC · 2023 · Principal investigator
- $25,000
Novel and robust systems based approaches for the identification and translation of microbiome derived diagnostic and therapeutics
CIHR · 2018 · Co-investigator
- $24,960
Real-time statistical anomaly detection in video
NSERC · 2018 · Principal investigator
27 publications.
Neural network pruning and simultaneous feature and structure selection.
Zhang X, Gu H, Kenney T
Microbial predictors of sustained clinical remission following the Crohn's disease exclusion diet in adults and microbiome shifts toward healthy pediatric controls.
Sigall-Boneh R, Organ S, Ghiboub M, Yanai H, Abramas L, Wierdsma N, Verburgt CM, de Jonge WJ, Derikx JPM, Lewis JD, Gu H, Bielawski J, Maharshak N, Dotan I, Wine E, Dunn K, Van Limbergen J
Rank selection for non-negative matrix factorization.
Cai Y, Gu H, Kenney T
Cross-study analyses of microbial abundance using generalized common factor methods.
Hayes MG, Langille MGI, Gu H
The Community Coevolution Model with Application to the Study of Evolutionary Relationships between Genes Based on Phylogenetic Profiles.
Liu C, Kenney T, Beiko RG, Gu H
Short-term response to iron resupply in an iron-limited open ocean diatom reveals rapid decay of iron-responsive transcripts.
Behnke J, Cai Y, Gu H, LaRoche J
Novel Application of Survival Models for Predicting Microbial Community Transitions with Variable Selection for Environmental DNA.
Bjorndahl P, Bielawski JP, Liu L, Zhou W, Gu H
Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data.
Kenney T, Gu H, Huang T
Association between metabolic status and gut microbiome in obese populations.
Zeng Q, Yang Z, Wang F, Li D, Liu Y, Wang D, Zhao X, Li Y, Wang Y, Feng X, Chen J, Li Y, Zheng Y, Kenney T, Gu H, Feng S, Li S, He Y, Xu X, Dai W
SuRF: A new method for sparse variable selection, with application in microbiome data analysis.
Liu L, Gu H, Van Limbergen J, Kenney T
Statistical modeling, inference and methodology for analyzing multi-source omics data and computational molecular evolution
Principal investigators: Gu, Hong
Keywords: multi-source omics data; dimension reduction; data exploration; variable selection; microbial structure and function; phylogenetics; temporal dynamics; model adequacy; stochastic differential equations; state space models
Novel and robust systems based approaches for the identification and translation of microbiome derived diagnostic and therapeutics
Principal investigators: Langille, Morgan G; Beiko, Robert G; Bielawski, Joseph P; Declercq, Vanessa C; Gloor, Gregory B; Parkinson, John; Van Limbergen, Johan E
Keywords: Bioinformatics; Cancer; Deep Learning; Inflamatory Bowel Disease; Long Read Sequencing; Machine Learning; Metagenomics; Microbiome; Sex And Gender; Statistics
Real-time statistical anomaly detection in video
Principal investigators: Gu, Hong
Atlantic Association for Research in the Mathematical Sciences (AARMS) - 2018 Industrial Problem Solving Workshop
Principal investigators: Gu, Hong
Statistical modeling, inference and methodology in microbial metagenomics data analysis and computational molecular evolution
Principal investigators: Gu, Hong
Structured information extraction for mining free-text radiology reports
Principal investigators: Gu, Hong
""Development of statistical modeling, inference and methodology in computational molecular evolution""
Principal investigators: Gu, Hong
Data mining, mutual information and evolutionary genetics
Principal investigators: Gu, Hong
Model selection, dimension redustion and genetics
Principal investigators: Gu, Hong
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Johan Van Limbergen and Eytan Wine: 4 shared papers
- Joseph Bielawski and Hong Gu: 2 shared papers
- Johan Van Limbergen and Hong Gu: 1 shared paper
- Robert Beiko and Emma Allen-Vercoe: 1 shared paper
- Robert Beiko and Hong Gu: 1 shared paper
- Emma Allen-Vercoe and Hong Gu: 1 shared paper
- Joseph Bielawski and Eytan Wine: 1 shared paper
- Joseph Bielawski and Edward Susko: 1 shared paper
- Eytan Wine and Hong Gu: 1 shared paper
- Julie LaRoche and Hong Gu: 1 shared paper
- Hong Gu and Edward Susko: 1 shared paper
- Hong Gu and Hugh Chipman: 1 shared paper
- Mathematics and Statistics
- Biology
- Pediatrics
- Pediatric Gastroenterology and Nutrition
- biology
- Computer Science
- Other
Co-authors at Dalhousie University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Joseph Bielawski
Biology
2 shared papers, latest 2026
Hugh Chipman
Mathematics and Statistics
1 shared papers, latest 2014
Edward Susko
Mathematics and Statistics
1 shared papers, latest 2005
Johan Van Limbergen
Pediatric Gastroenterology and Nutrition
1 shared papers, latest 2021
Robert Beiko
Computer Science
1 shared papers, latest 2018
Emma Allen-Vercoe
Faculty
1 shared papers, latest 2018
Eytan Wine
Pediatrics
1 shared papers, latest 2026
Julie LaRoche
biology
1 shared papers, latest 2023
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