Author

Anna V. Little

Michigan State UniversityORCID 0000-0003-0339-9259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Andriana ManousidakiiD· 1 shared Franziska SeegeriD· 1 shared Haiyan Cheng· 1 shared Julie C. MitchelliD· 1 shared Tina Woolf· 1 shared Yang CheniD· 1 shared Yuying XieiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperGenomics

Andriana ManousidakiORCID

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2 papers

Recent·Most cited

GenomicsPLoS Computational BiologyPeer-reviewedMay 29, 2024

Clustering and visualization of single-cell RNA-seq data using path metrics

Andriana Manousidaki, Anna V. Little, Yuying Xie

This paper introduces a new method for clustering and visualizing single-cell RNA-seq data using path metrics, which outperforms existing methods in preserving both global geometry and cluster structure.

4 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsAssociation for Women in Mathematics seriesPeer-reviewedJan 1, 2019

Feature Design for Protein Interface hotspots using KFC2 and Rosetta

Franziska Seeger, Anna V. Little, Yang Chen…·Julie C. Mitchell

The paper combines KFC2a features with Rosetta scoring terms to improve prediction of protein interface hotspots using machine learning.

1 citation

protein structuremachine learning (classical)

𝕏 PostBluesky