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Kieran R Campbell

Showing results (1-10 of 33) with videos related to

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Cancer Research|May 16, 2025
Cells keep diverse company in diseased tissuesKieran R Campbell, Aleksandrina Goeva
Plos Computational Biology|November 22, 2016
Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime InferenceKieran R Campbell, Christopher Yau
Wellcome Open Research|May 16, 2017
Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzersKieran R Campbell, Christopher Yau
Nature Communications|June 24, 2018
Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression dataKieran R Campbell, Christopher Yau
NEJM Evidence|February 6, 2024
The Basics of Machine LearningMichael Fralick, Kieran R Campbell
Bioinformatics (Oxford, England)|December 25, 2016
switchde: inference of switch-like differential expression along single-cell trajectoriesKieran R Campbell, Christopher Yau
Bioinformatics (Oxford, England)|June 26, 2018
A descriptive marker gene approach to single-cell pseudotime inferenceKieran R Campbell, Christopher Yau
Physical Biology|August 8, 2020
Computational modelling in single-cell cancer genomics: methods and future directionsAllen W Zhang, Kieran R Campbell
Genome Biology|June 17, 2024
Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performanceCindy Fang, Alina Selega, Kieran R Campbell
Nature Communications|February 2, 2024
The impacts of active and self-supervised learning on efficient annotation of single-cell expression dataMichael J Geuenich, Dae-Won Gong, Kieran R Campbell
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Cancer Research|May 16, 2025
Cells keep diverse company in diseased tissuesKieran R Campbell, Aleksandrina Goeva
Plos Computational Biology|November 22, 2016
Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime InferenceKieran R Campbell, Christopher Yau
Wellcome Open Research|May 16, 2017
Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzersKieran R Campbell, Christopher Yau
Nature Communications|June 24, 2018
Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression dataKieran R Campbell, Christopher Yau
NEJM Evidence|February 6, 2024
The Basics of Machine LearningMichael Fralick, Kieran R Campbell
Bioinformatics (Oxford, England)|December 25, 2016
switchde: inference of switch-like differential expression along single-cell trajectoriesKieran R Campbell, Christopher Yau
Bioinformatics (Oxford, England)|June 26, 2018
A descriptive marker gene approach to single-cell pseudotime inferenceKieran R Campbell, Christopher Yau
Physical Biology|August 8, 2020
Computational modelling in single-cell cancer genomics: methods and future directionsAllen W Zhang, Kieran R Campbell
Genome Biology|June 17, 2024
Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performanceCindy Fang, Alina Selega, Kieran R Campbell
Nature Communications|February 2, 2024
The impacts of active and self-supervised learning on efficient annotation of single-cell expression dataMichael J Geuenich, Dae-Won Gong, Kieran R Campbell
Pageof 4