Author

David Tritchler

University at Buffalo, State University of New YorkORCID 0000-0002-3177-9657Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Jeffrey C. MiecznikowskiiD· 2 shared Lorin M. Towle-MilleriD· 2 shared Fan ZhangiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Jeffrey C. MiecznikowskiORCID

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2 papers

Recent·Most cited

Balanced Functional Module Detection in Genomic Data

David Tritchler, Lorin M. Towle-Miller, Jeffrey C. Miecznikowski

The paper introduces bFMD, a module detection algorithm that identifies balanced functional modules in genomic data, showing favorable performance in simulations and interpretable results in RNA-seq data.

Bioinformatics Advances · Jan 1, 2021Peer-reviewedBioinformatics

Filtering Variables for Supervised Sparse Network Analysis

Lorin M. Towle-Miller, Jeffrey C. Miecznikowski, Fan Zhang, David Tritchler

The paper introduces a gene filtering method to improve supervised network analysis by removing irrelevant features, enhancing scalability and accuracy of downstream analyses like sparse canonical correlation analysis.

bioRxiv · Mar 12, 2020 · PreprintBioinformatics