Author

Maryam Zand

The University of Texas at San AntonioORCID 0000-0001-6833-1859Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Organism:Drosophila· 1

Frequent Co-Authors

Jianhua RuaniD· 2 shared Adi Laurentiu TarcaiD· 1 shared Attila GáboriD· 1 shared Buu Minh Thanh TruongiD· 1 shared Chang ShuiD· 1 shared Christoph HafemeisteriD· 1 shared Disheng Mao· 1 shared Duc TraniD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Jianhua RuanORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 15, 2021

A completely parameter-free method for graph-based single cell RNA-seq clustering

Maryam Zand, Jianhua Ruan

This paper introduces scQcut, a parameter-free method for graph-based single-cell RNA-seq clustering that outperforms existing methods in accuracy and rare cell type identification.

1 citation

scRNA-seqstatistical model

𝕏 PostBluesky

Systems BiologyLife Science AlliancePeer-reviewedSep 24, 2020

Predicting cellular position in the Drosophila embryo from Single-Cell Transcriptomics data

Jovan Tanevski, Thin Nguyen, Buu Minh Thanh Truong…·Pablo Meyer

The paper predicts cellular positions in the Drosophila embryo using scRNA-seq data by benchmarking methods against spatially annotated genes.

26 citations

DrosophilascRNA-seq

𝕏 PostBluesky