Russell Bowler

Orcid: 0000-0003-4651-363X

According to our database1, Russell Bowler authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration.
PLoS Comput. Biol., 2024

2023
TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes.
BMC Bioinform., December, 2023

NetSHy: network summarization via a hybrid approach leveraging topological properties.
Bioinform., January, 2023

2022
Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification.
Frontiers Big Data, 2022

sJIVE: Supervised joint and individual variation explained.
Comput. Stat. Data Anal., 2022

Semi-supervised Embedding for Scalable and Accurate Time Series Clustering.
Proceedings of the IEEE International Conference on Big Data, 2022

Effective Subject Representation based on Multi-omics Disease Networks using Graph Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.
PLoS Comput. Biol., 2021

PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes.
PLoS Comput. Biol., 2021

2019
The Utility of Shapelets for Analyzing Physical Activity of COPD Patients and non-COPD controls.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017
The discordant method: a novel approach for differential correlation.
Bioinform., 2017

2014
Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD.
BMC Syst. Biol., 2014

MSPrep - Summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data.
Bioinform., 2014


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