Mu Zhu, University of Waterloo

Research

copula dependence energy score neural network probability prediction stochastic block model variogram score

Latest papers

First-Order Correction of Statistical Significance for Screening Two-Way Epistatic Interactions.
Methods in molecular biology (Clifton, N.J.) · 2021 · senior author
Compositional epistasis detection using a few prototype disease models.
PloS one · 2019 · senior author
Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms.
BMC medical informatics and decision making · 2015

All 11 publications

Latest funding

Multivariate Probability Predictions and Time-Varying Networks
NSERC · 2023 · Principal investigator
$54,000
Networks: Estimation in Protein Molecules, Modeling of Transactional Data, and Application to Ensemble Learning
NSERC · 2016 · Principal investigator
$198,000
Kernels and ensembles for horizontal and vertical information selection
NSERC · 2011 · Principal investigator
$140,000

All 9 grants and awards

11 publications.

01

First-Order Correction of Statistical Significance for Screening Two-Way Epistatic Interactions.

Cheng L, Zhu M

Methods in molecular biology (Clifton, N.J.)2021Senior author

DOI: 10.1007/978-1-0716-0947-7_12 PMID: 33733357

02

Compositional epistasis detection using a few prototype disease models.

Cheng L, Zhu M

PloS one2019Senior author

DOI: 10.1371/journal.pone.0213236 PMID: 30917131

03

Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms.

Cheng L, Zhu M, Poss JW, Hirdes JP, Glenny C, Stolee P

BMC medical informatics and decision making2015

DOI: 10.1186/s12911-015-0203-1 PMID: 26453354

04

Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins.

Soltan Ghoraie L, Burkowski F, Zhu M

Bioinformatics (Oxford, England)2015Senior author

DOI: 10.1093/bioinformatics/btv241 PMID: 26072474

05

Threshold-free measures for assessing the performance of medical screening tests.

Yuan Y, Su W, Zhu M

Frontiers in public health2015Senior author

DOI: 10.3389/fpubh.2015.00057 PMID: 25941668

06

Sparse networks of directly coupled, polymorphic, and functional side chains in allosteric proteins.

Soltan Ghoraie L, Burkowski F, Zhu M

Proteins2015Senior author

DOI: 10.1002/prot.24752 PMID: 25545075

07

K-means cluster analysis of rehabilitation service users in the Home Health Care System of Ontario: examining the heterogeneity of a complex geriatric population.

Armstrong JJ, Zhu M, Hirdes JP, Stolee P

Archives of physical medicine and rehabilitation2012

DOI: 10.1016/j.apmr.2012.05.026 PMID: 22705468

08

Chemical Descriptors Are More Important Than Learning Algorithms for Modelling.

Young SS, Yuan F, Zhu M

Molecular informatics2012Senior author

DOI: 10.1002/minf.201200031 PMID: 27476452

09

LAGO on the unit sphere.

Laflamme-Sanders A, Zhu M

Neural networks : the official journal of the International Neural Network Society2008Senior author

DOI: 10.1016/j.neunet.2008.08.002 PMID: 18775643

10

Using machine learning algorithms to guide rehabilitation planning for home care clients.

Zhu M, Zhang Z, Hirdes JP, Stolee P

BMC medical informatics and decision making2007First author

DOI: 10.1186/1472-6947-7-41 PMID: 18096079

Multivariate Probability Predictions and Time-Varying Networks

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Zhu, Mu

Keywords: neural network; probability prediction; copula; dependence; energy score; variogram score; stochastic block model

$54,000

Networks: Estimation in Protein Molecules, Modeling of Transactional Data, and Application to Ensemble Learning

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Zhu, Mu

$198,000

Kernels and ensembles for horizontal and vertical information selection

Principal investigatorNSERC2011Discovery Grants Program - Individual

Principal investigators: Zhu, Mu

$140,000

Kernels and ensembles for horizontal and vertical information selection

Principal investigatorNSERC2011Discovery Grants Program - Accelerator Supplements

Principal investigators: Zhu, Mu

$120,000

Building Capacity in Community Care by Leveraging the Value of Information Exchange

Co-investigatorCIHR2011Knowledge Translation Supplement

Principal investigators: Stolee, Paul

Keywords: Data Mobilisation; Health Information Exchange; Home Care; Rehabilitation; Standardized Assessment Tools

$90,373

Rare target detection with statistical learning methods: drug discovery, functional genomics and proteomics

Principal investigatorNSERC2006Discovery Grants Program - Individual

Principal investigators: Zhu, Mu

$80,000

High-performance computing resource for statistical genomics

Co-investigatorNSERC2006Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Kustra, Rafal

$68,250

Statistical learning with high-dimensional data

Principal investigatorNSERC2002Discovery Grants Program - Individual

Principal investigators: Zhu, Mu

$52,000

Multi-server computing environment

Co-investigatorNSERC2002Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Chipman, Hugh

$42,270

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

Statistics and Actuarial Science
School of Public Health and Health Systems
Computer Science
School of Public Health

Co-authors at University of Waterloo, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Paul Stolee

School of Public Health and Health Systems

4 shared papers, latest 2015

Forbes Burkowski

Computer Science

2 shared papers, latest 2015

Yan Yuan

School of Public Health

1 shared papers, latest 2015

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2023

Subject: Prospective PhD student: copula Dear Professor Zhu, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "First-Order Correction of Statistical Significance for Screening Two-Way Epistatic Interactions." (2021), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Multivariate Probability Predictions and Time-Varying Networks" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]