Faculty

Institution

Unit

Venue

Jun Xie

Medical College of Wisconsin

Affiliations

Department of Biophysics

NoneJun Xie is currently serving as a Biophysics faculty at Medical College of Wisconsin.

Honors

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Experiences

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Education

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Jun Xie

Medical College of Wisconsin

You can click a keyword to filter the displayed items

statistics genetics biostatistics applied statistics statistical methodology molecular biology proteomics genomics gene expression bioinformatics statistical inference mammalian biology avian biology protein science insect molecular biology computational biology animal science plant science transcription factors plant physiology genome biology plant biology plant molecular biology medical genetics mammalian physiology plant biotechnology approximate reasoning animal physiology insect biochemistry molecular metabolism cell metabolism mammary gland plant proteomics microarray data analysis epigenomics statistical analysis statistical science genome-wide association studies plant development hidden markov model powerful test insect science genome studies biochemical genetics cancer prevention cancer biology companion animals chromatin remodeling cellular biology cell-matrix interactions chromosome biology plant biochemistry plant analysis personal genomics cancer genetics cancer genomics skin cancer association rules p versus np problem dependency analysis diagnostic virology log-rank test kaplan-meier estimator survival data inverse probability human body louse smallest insect genomes human body human mammary epithelium proteomic strategy plant protein complexes arabidopsis leaves protein complexes size exclusion chromatography skin cancer burden sun-exposure status magnetic resonance imaging radiology functional imaging neuroimaging brain imaging medical imaging biomedical imaging

Notable Scholarly Works

Notable Federal Grants

Collaborators

Integrating Corum and Co-Fractionation Mass Spectrometry to Create Enhanced Benchmarks for Protein Complex Predictions.. PubMed (2025)

proteomicsprotein modelingprotein complex predictionssystems biologyproteome researchproteomic technologiesmolecular biologymass spectrometryprotein scienceprotein mass spectrometryenhanced benchmarksco-fractionation mass spectrometrybiochemistry

Systems-Level Proteomic Models of Cotton Fiber Development: A High-Resolution Resource to Analyze Cell Dynamics and Trait Engineering. bioRxiv (Cold Spring Harbor Laboratory) (2025)

genomicsgene expressionproteomicsfunctional genomicsplant molecular biologyproteome researchgeneticsplant proteomicsplant physiologyproteomics-based modelsdevelopmental biologycotton fiber developmentplant genomics

When is Causal Inference Possible? a Statistical Test for Unmeasured Confounding. arXiv (Cornell University) (2025)

causal reasoningcausal inference possibleunmeasured confoundingcausalitycausal inferencebiaseconomicscausal relation extractioncausal modelsstatisticsinferencestatistical methodologya statistical teststatistical hypothesis testeconomic psychologyproximate causestatistical models

A High-Resolution Model of Gene Expression During Gossypium Hirsutum (Cotton) Fiber Development. Research Square (Research Square) (2024)

genomicstranscriptomegene expressionhigh-resolution modelplant biotechnologyplant molecular biologygeneticsbiologyplant cellsplant developmentmolecular geneticsfiber developmentdevelopmental biology

Daily Glycome and Transcriptome Profiling Reveals Polysaccharide Structures and Correlated Glycosyltransferases Critical for Cotton Fiber Growth. The Plant Journal (2024)

Sivakumar SwaminathanCorrinne E. GroverAlither S. MugishaLauren E. SichtermanYoungwoo LeePengcheng YangEileen L. MalleryJosef J. JareczekAlexis G. LeachJun XieJonathan F. WendelDaniel B. SzymanskiOlga A. Zabotina

transcriptomecotton fiber growthplant biologytranscriptome profiling revealsdaily glycomeplant science

Developmental Variability in Cotton Fiber Cell Wall Properties Linked to Important Agronomic Traits. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Michael C. WilsonAlexander H. HowellAnika SoodYoungwoo LeePengcheng YangElena YuHeena RaniEileen L. MallerySivakumar SwaminathanCorrinne E. GroverJonathan F. WendelOlga A. ZabotinaJun XieChelsea S. DavisDaniel B. Szymanski

important agronomic traitsagronomyplant developmentdevelopmental biologydevelopmental variability

A Machine Learning-Based Approach to Identify Reliable Gold Standards for Protein Complex Composition Prediction. bioRxiv (Cold Spring Harbor Laboratory) (2023)

P YangY LeeDB SzymanskiJ Xie

reliable gold standardsbiophysicsmachine learningbioinformatics

Estimating Heterogeneous Treatment Effects Versus Building Individualized Treatment Rules: Connection and Disconnection. Statistics & Probability Letters (2023)

Zhongyuan ChenJun Xie

heterogeneous treatment effectsapplied statisticsbiostatisticsstatisticsapplied mathematicsindividualized treatment rulesprobability theory

Multi-Scale Phenotyping of Developing Cotton Fibers. Authorea (Authorea) (2023)

AH HowellY LeeCE GroverS SwaminathanH RaniP YangE Yu...

agricultural biotechnologymulti-scale phenotypingcotton fibersgeneticscrop improvementplant breedinghorticulture researchdevelopmental biologyplant sciencebotanyfiber science

Data-Guided Treatment Recommendation With Feature Scores. Statistica Sinica (2022)

Zhongyuan ChenZiyi WangQifan SongJun Xie

samplingapplied statisticsanalyticsdata-guided treatment recommendationbiostatisticsstatisticsstatistical methodologydata sciencefeature scoresmachine learning

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Jun Xie

Medical College of Wisconsin

Affiliations

Department of Biophysics

NoneJun Xie is currently serving as a Biophysics faculty at Medical College of Wisconsin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jun Xie

Medical College of Wisconsin

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Integrating Corum and Co-Fractionation Mass Spectrometry to Create Enhanced Benchmarks for Protein Complex Predictions.. PubMed (2025)

Systems-Level Proteomic Models of Cotton Fiber Development: A High-Resolution Resource to Analyze Cell Dynamics and Trait Engineering. bioRxiv (Cold Spring Harbor Laboratory) (2025)

When is Causal Inference Possible? a Statistical Test for Unmeasured Confounding. arXiv (Cornell University) (2025)

A High-Resolution Model of Gene Expression During Gossypium Hirsutum (Cotton) Fiber Development. Research Square (Research Square) (2024)

genomicstranscriptomegene expressionhigh-resolution modelplant biotechnologyplant molecular biologygeneticsbiologyplant cellsplant developmentmolecular geneticsfiber developmentdevelopmental biology

Daily Glycome and Transcriptome Profiling Reveals Polysaccharide Structures and Correlated Glycosyltransferases Critical for Cotton Fiber Growth. The Plant Journal (2024)

transcriptomecotton fiber growthplant biologytranscriptome profiling revealsdaily glycomeplant science

Developmental Variability in Cotton Fiber Cell Wall Properties Linked to Important Agronomic Traits. bioRxiv (Cold Spring Harbor Laboratory) (2024)

important agronomic traitsagronomyplant developmentdevelopmental biologydevelopmental variability

A Machine Learning-Based Approach to Identify Reliable Gold Standards for Protein Complex Composition Prediction. bioRxiv (Cold Spring Harbor Laboratory) (2023)

P YangY LeeDB SzymanskiJ Xie

reliable gold standardsbiophysicsmachine learningbioinformatics

Estimating Heterogeneous Treatment Effects Versus Building Individualized Treatment Rules: Connection and Disconnection. Statistics & Probability Letters (2023)

Zhongyuan ChenJun Xie

heterogeneous treatment effectsapplied statisticsbiostatisticsstatisticsapplied mathematicsindividualized treatment rulesprobability theory

Multi-Scale Phenotyping of Developing Cotton Fibers. Authorea (Authorea) (2023)

AH HowellY LeeCE GroverS SwaminathanH RaniP YangE Yu...

agricultural biotechnologymulti-scale phenotypingcotton fibersgeneticscrop improvementplant breedinghorticulture researchdevelopmental biologyplant sciencebotanyfiber science

Data-Guided Treatment Recommendation With Feature Scores. Statistica Sinica (2022)

Zhongyuan ChenZiyi WangQifan SongJun Xie

samplingapplied statisticsanalyticsdata-guided treatment recommendationbiostatisticsstatisticsstatistical methodologydata sciencefeature scoresmachine learning

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