Author

Daphne M. Tsoucas

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Guo‐Cheng YuaniD· 1 shared Zoe WeissiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

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2 top collaborators · 0 mutual co-author links

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1 shared paperBioinformatics

Guo‐Cheng YuanORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 13, 2018

A Universal Algorithm to Detect Rare or Novel Cell Types in High-Throughput Single-Cell Gene Expression Data

Zoe Weiss, Daphne M. Tsoucas

The paper introduces an algorithm to detect rare or novel cell types in single-cell gene expression data and identifies a putative new hippocampal cell type.

DOI 10.1101/438382

mousehuman

𝕏 PostBluesky

BioinformaticsGenome biologyPeer-reviewedMay 10, 2018

A cluster-aware, weighted ensemble clustering method for cell-type detection

Daphne M. Tsoucas, Guo‐Cheng Yuan

GiniClust2 is a cluster-aware, weighted ensemble clustering method that improves cell-type detection by identifying both common and rare cell types across diverse datasets.

77 citations

scRNA-seqstatistical model

𝕏 PostBluesky