Author

Arcot Sowmya

UNSW SydneyORCID 0000-0001-9236-5063Unclaimed 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· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:imaging· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Erik H. W. MeijeringiD· 3 shared Priyanka RanaiD· 3 shared Yang SongiD· 3 shared Abhishek VijayaniD· 1 shared Fatemeh VafaeeiD· 1 shared Shadma FatimaiD· 1 shared

Activity by Year

2021-2022 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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3 shared papersBioinformatics

Erik H. W. MeijeringORCID

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Author profile →

4 papers

Recent·Most cited

Imbalanced classification for protein subcellularlocalisation with multilabel oversampling

Priyanka Rana, Arcot Sowmya, Erik H. W. Meijering, Yang Song

The paper addresses imbalanced multilabel classification for protein subcellular localization using oversampling techniques to improve minority class prediction performance.

Bioinformatics · Dec 29, 2022Peer-reviewedBioinformatics

Data augmentation for imbalanced blood cell image classification

Priyanka Rana, Arcot Sowmya, Erik H. W. Meijering, Yang Song

This paper proposes a method to improve classification of imbalanced blood cell images using data augmentation techniques and a minority class sampling strategy, achieving better performance on minority classes.

bioRxiv · Aug 30, 2022 · PreprintBioinformatics

Blood-based transcriptomic signature panel identification for cancer diagnosis: Benchmarking of feature extraction methods

Abhishek Vijayan, Shadma Fatima, Arcot Sowmya, Fatemeh Vafaee

This study benchmarks eleven feature extraction methods for identifying blood-based transcriptomic biomarkers in cancer diagnosis, finding PLS-DA superior for classification and Ranger for robust feature selection.

Briefings in Bioinformatics · Aug 9, 2022Peer-reviewedBioinformatics

Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation

Priyanka Rana, Arcot Sowmya, Erik H. W. Meijering, Yang Song

This paper introduces a 3D texture descriptor for nuclear classification and phenotypic state characterization using chromatin patterns in human cells.

Scientific Reports · Feb 9, 2021Peer-reviewedBioinformatics