Catalina A. Vallejos

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John MarioniGenentechDirección de correo verificada de gene.com
Sylvia RichardsonDirector of MRC Biostatistics Unit and Professor of Biostatistics, University of CambridgeDirección de correo verificada de mrc-bsu.cam.ac.uk
Celia Pilar Martinez-JimenezGroup Leader at Helmholtz Pioneer Campus (Helmholtz Zentrum München )Dirección de correo verificada de helmholtz-munich.de
Aleksandra A KolodziejczykInternational Institute of Molecular and Cell BiologyDirección de correo verificada de iimcb.gov.pl
Sarah A. TeichmannWellcome Sanger Institute & University of CambridgeDirección de correo verificada de cam.ac.uk
Lovorka StojicBarts Cancer Institute, Queen Mary University of LondonDirección de correo verificada de qmul.ac.uk
Duncan T OdomUniversity of Heidelberg & German Cancer Research Center/DKFZDirección de correo verificada de dkfz-heidelberg.de
Antonio ScialdoneGroup Leader, Helmholtz Zentrum München, Institute of Epigenetics and Stem CellsDirección de correo verificada de helmholtz-muenchen.de
Davide RissoDepartment of Statistical Sciences, University of Padova, ItalyDirección de correo verificada de unipd.it
Mark FJ SteelProfessor of Statistics, University of WarwickDirección de correo verificada de stats.warwick.ac.uk
Nicholas L MillsBritish Heart Foundation Chair of Cardiology, University of EdinburghDirección de correo verificada de ed.ac.uk
Andrew R ChapmanClinical Lecturer in Cardiology, University of EdinburghDirección de correo verificada de ed.ac.uk
Michael StubbingtonCS GeneticsDirección de correo verificada de csgenetics.com
Nils ElingSenior data scientist at NIBR, Novartis

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Catalina A. Vallejos

MRC Human Genetics Unit, Edinburgh & The Alan Turing Institute

Dirección de correo verificada de ed.ac.uk - Página principal

Bayesian statistics Survival analysis Statistical genomics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome Biology 21 (1), 1-35, 2020	950	2020
Normalizing single-cell RNA sequencing data: challenges and opportunities CA Vallejos, D Risso, A Scialdone, S Dudoit, JC Marioni Nature methods 14 (6), 565-571, 2017	437	2017
High-sensitivity troponin in the evaluation of patients with suspected acute coronary syndrome: a stepped-wedge, cluster-randomised controlled trial ASV Shah, A Anand, FE Strachan, AV Ferry, KK Lee, AR Chapman, ... The Lancet 392 (10151), 919-928, 2018	352	2018
BASiCS: Bayesian analysis of single-cell sequencing data CA Vallejos, JC Marioni, S Richardson PLoS computational biology 11 (6), e1004333, 2015	313	2015
Aging increases cell-to-cell transcriptional variability upon immune stimulation CP Martinez-Jimenez, N Eling, HC Chen, CA Vallejos, AA Kolodziejczyk, ... Science 355 (6332), 1433-1436, 2017	310	2017
High-sensitivity cardiac troponin and the universal definition of myocardial infarction AR Chapman, PD Adamson, ASV Shah, A Anand, FE Strachan, AV Ferry, ... Circulation 141 (3), 161-171, 2020	174	2020
Beyond comparisons of means: understanding changes in gene expression at the single-cell level CA Vallejos, S Richardson, JC Marioni Genome Biology 17 (1), 1-14, 2016	102	2016
Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data N Eling, AC Richard, S Richardson, JC Marioni, CA Vallejos Cell systems 9 (4), 401, 2019	75	2019
Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data N Eling, AC Richard, S Richardson, JC Marioni, CA Vallejos Cell systems 7 (3), 284-294. e12, 2018	71	2018
Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy ML Richter, IK Deligiannis, K Yin, A Danese, E Lleshi, P Coupland, ... Nature communications 12 (1), 1-16, 2021	50	2021
Bayesian survival modelling of university outcomes CA Vallejos, MFJ Steel Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2017	38	2017
Refining epigenetic prediction of chronological and biological age E Bernabeu, DL McCartney, DA Gadd, RF Hillary, AT Lu, L Murphy, ... Genome Medicine 15 (1), 1-15, 2023	32	2023
Objective Bayesian survival analysis using shape mixtures of log-normal distributions CA Vallejos, MFJ Steel Journal of the American Statistical Association 110 (510), 697-710, 2015	21	2015
scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution CA Kapourani, R Argelaguet, G Sanguinetti, CA Vallejos Genome Biology 22 (1), 1-21, 2021	17	2021
Exploring a world of a thousand dimensions CA Vallejos Nature Biotechnology 37 (12), 1423-1424, 2019	17	2019
Model updating after interventions paradoxically introduces bias J Liley, S Emerson, B Mateen, C Vallejos, L Aslett, S Vollmer International Conference on Artificial Intelligence and Statistics, 3916-3924, 2021	14	2021
Improving risk stratification for patients with type 2 myocardial infarction C Taggart, K Monterrubio-Gómez, A Roos, J Boeddinghaus, DM Kimenai, ... Journal of the American College of Cardiology 81 (2), 156-168, 2023	11	2023
Design choices for productive, secure, data-intensive research at scale in the cloud D Arenas, J Atkins, C Austin, D Beavan, AC Egea, S Carlysle-Davies, ... arXiv preprint arXiv:1908.08737, 2019	9	2019
Brain matters: unveiling the distinct contributions of region, age, and sex to glia diversity and CNS function LA Seeker, N Bestard-Cuche, S Jäkel, NL Kazakou, SMK Bøstrand, ... Acta Neuropathologica Communications 11 (1), 1-23, 2023	8	2023
Shrinkage estimation of large covariance matrices using multiple shrinkage targets H Gray, GGR Leday, CA Vallejos, S Richardson arXiv preprint arXiv:1809.08024, 2018	8	2018

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