Author

Rachel Violet Purcell

University of OtagoORCID 0000-0002-2684-4530Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Arielle Kae SulitiD· 2 shared Frank FrizelleiD· 2 shared Olin SilanderiD· 2 shared Tyler KolisnikiD· 2 shared Adam N. H. SmithiD· 1 shared Alexander Graham HeriotiD· 1 shared Faeze Keshavarz-RahaghiiD· 1 shared John F. PearsoniD· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Arielle Kae SulitORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

pyRforest: A comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R

Tyler Kolisnik, Faeze Keshavarz-Rahaghi, Rachel Violet Purcell, Adam N. H. Smith, Olin Silander

pyRforest integrates Python's Random Forest algorithms into R for efficient genomic data classification and analysis, offering improved interpretability and additional statistical methods.

Briefings in Functional Genomics · Sep 24, 2024Peer-reviewedBioinformatics

Human Gene and Microbial Analyses Suggest Immunotherapy-like Mechanisms in Complete Response to Radiotherapy in Rectal Cancer

Arielle Kae Sulit, Kasmira Wilson, John F. Pearson, Olin Silander, Shienny Sampurno, Michael Michael, Robert George Ramsay, Alexander Graham Heriot, Frank Frizelle, Rachel Violet Purcell

The paper identifies immune-related gene and microbial biomarkers associated with complete response to chemoradiotherapy in rectal cancer.

BJS Open · Feb 28, 2023Peer-reviewedGenetic & Genomic Medicine

MetaFunc: Taxonomic and Functional Analyses of High Throughput Sequencing for Microbiomes

Arielle Kae Sulit, Tyler Kolisnik, Frank Frizelle, Rachel Violet Purcell, Sebastian Schmeier

MetaFunc performs taxonomic and functional analysis of microbiome sequencing data, linking species to gene functions and enabling host gene analysis and differential abundance studies.

Gut Microbiome · Jan 1, 2023Peer-reviewedBioinformatics