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DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data

Nature communications, 2021-10, Vol.12 (1), p.5849-5849, Article 5849

2021

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Artificial neural networks for predicting charge transfer coupling

The Journal of chemical physics, 2020-12, Vol.153 (21), p.214113-214113

2020

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Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer

Nature genetics, 2022-07, Vol.54 (7), p.963-975

2022

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LWD-TCP complex activates the morning gene CCA1 in Arabidopsis

Nature communications, 2016-10, Vol.7 (1), p.13181-13181, Article 13181

2016

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An incoherent feed-forward loop switches the Arabidopsis clock rapidly between two hysteretic states

Scientific reports, 2018-09, Vol.8 (1), p.13944-16, Article 13944

2018

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Basal leakage in oscillation: Coupled transcriptional and translational control using feed-forward loops

PLoS computational biology, 2020-09, Vol.16 (9), p.e1007740-e1007740

2020

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Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes

Genome medicine, 2024-03, Vol.16 (1), p.45-45, Article 45

2024

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RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data

Nucleic acids research, 2021-09, Vol.49 (15), p.8505

2021

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DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data

Artificial neural networks for predicting charge transfer coupling

Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer

LWD-TCP complex activates the morning gene CCA1 in Arabidopsis

An incoherent feed-forward loop switches the Arabidopsis clock rapidly between two hysteretic states

Basal leakage in oscillation: Coupled transcriptional and translational control using feed-forward loops

Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes

RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data

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