Ke Yuan

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Florian MarkowetzCancer Research UK Cambridge InstituteVerified email at cruk.cam.ac.uk
Adalberto Claudio QuirosPostdoctoral Research Associate, Computer Science, University of GlasgowVerified email at student.gla.ac.uk
Roderick Murray-SmithProfessor of Computing Science, University of Glasgow, School of Computing ScienceVerified email at glasgow.ac.uk
Geoff MacintyreComputational Oncology Group Leader, CNIO, Madrid, SpainVerified email at cnio.es
Mahesan NiranjanUniversity of SouthamptonVerified email at ecs.soton.ac.uk
Ruibin XiPeking UniversityVerified email at math.pku.edu.cn
Sakoparnig ThomasLife Science Data Analyst, Biozentrum of University of BaselVerified email at unibas.ch
Niko BeerenwinkelProfessor of Computational Biology, ETH ZurichVerified email at bsse.ethz.ch
Marek CmeroWEHIVerified email at wehi.edu.au
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Professor Tony PapenfussTheme Leader, Computational Biology, Walter and Eliza Hall Institute of MedicalVerified email at wehi.edu.au
Florent MouliereTeam lead, Cancer Research UK Cancer Biomarker CentreVerified email at cruk.manchester.ac.uk
Francesco MarassPetDxVerified email at petdx.com
Nitzan RosenfeldCancer Research UK Cambridge Institute and University of CambridgeVerified email at cruk.cam.ac.uk
Ines de SantiagoCambridge Institute - CRUKVerified email at cruk.cam.ac.uk
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Visakan KadirkamanathanProfessor of Signal and Information Processing, University of SheffieldVerified email at sheffield.ac.uk
Andrew Zammit MangionUniversity of WollongongVerified email at uow.edu.au
Guido SanguinettiReader in Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Wang XinThe Chinese University of Hong KongVerified email at cuhk.edu.hk

Ke Yuan

Senior Lecturer in Machine Learning and Computational Biology, University of Glasgow

Verified email at glasgow.ac.uk - Homepage

Machine Learning Bayesian Inference Cancer Genomics Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020	1454	2020
The evolutionary history of 2,658 cancers M Gerstung, C Jolly, I Leshchiner, SC Dentro, S Gonzalez, D Rosebrock, ... Nature 578 (7793), 122-128, 2020	847	2020
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ... Cell 184 (8), 2239-2254. e39, 2021	286	2021
BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies K Yuan, T Sakoparnig, F Markowetz, N Beerenwinkel Genome biology 16, 1-16, 2015	135	2015
PathologyGAN: Learning deep representations of cancer tissue AC Quiros, R Murray-Smith, K Yuan arXiv preprint arXiv:1907.02644, 2019	87	2019
Spatial and temporal clonal evolution of intrahepatic cholangiocarcinoma LQ Dong, Y Shi, LJ Ma, LX Yang, XY Wang, S Zhang, ZC Wang, M Duan, ... Journal of hepatology 69 (1), 89-98, 2018	75	2018
A phylogenetic latent feature model for clonal deconvolution F Marass, F Mouliere, K Yuan, N Rosenfeld, F Markowetz The Annals of Applied Statistics, 2377-2404, 2016	55	2016
Inferring structural variant cancer cell fraction M Cmero, K Yuan, CS Ong, J Schröder, NM Corcoran, T Papenfuss, ... Nature communications 11 (1), 730, 2020	45*	2020
Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ... BioRxiv, 312041, 2018	43	2018
BaalChIP: Bayesian analysis of allele-specific transcription factor binding in cancer genomes I de Santiago, W Liu, K Yuan, M O’Reilly, CSR Chilamakuri, BAJ Ponder, ... Genome biology 18, 1-17, 2017	33	2017
Markov chain Monte Carlo methods for state-space models with point process observations K Yuan, M Girolami, M Niranjan Neural Computation 24 (6), 1462-1486, 2012	22	2012
Online variational inference for state-space models with point-process observations AZ Mangion, K Yuan, V Kadirkamanathan, M Niranjan, G Sanguinetti Neural computation 23 (8), 1967-1999, 2011	21	2011
Adversarial learning of cancer tissue representations A Claudio Quiros, N Coudray, A Yeaton, W Sunhem, R Murray-Smith, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	18*	2021
Ccube: a fast and robust method for estimating cancer cell fractions K Yuan, G Macintyre, W Liu, PCAWG-11 working group, F Markowetz bioRxiv, 484402, 2018	15	2018
Reconstructing evolving signalling networks by hidden Markov nested effects models X Wang, K Yuan, C Hellmayr, W Liu, F Markowetz	15	2014
Estimating a state-space model from point process observations: A note on convergence K Yuan, M Niranjan Neural computation 22 (8), 1993-2001, 2010	9	2010
Pervasive intra-tumour heterogeneity and subclonal selection across cancer types S Dentro, I Leshchiner, K Haase, J Wintersinger, A Deshwar, M Tarabichi, ... Cancer Research 78 (13_Supplement), 3000-3000, 2018	7	2018
Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis AC Quiros, N Coudray, A Yeaton, X Yang, L Chiriboga, A Karimkhan, ... arXiv preprint arXiv:2205.01931, 2022	6	2022
Mutational signature dynamics indicate SARS-CoV-2’s evolutionary capacity is driven by host antiviral molecules KD Lamb, MM Luka, M Saathoff, RJ Orton, MVT Phan, M Cotten, K Yuan, ... PLOS Computational Biology 20 (1), e1011795, 2024	5*	2024
Reliability-aided multiuser detection in time-frequency-domain spread multicarrier DS-CDMA systems K Yuan, W Liu, LL Yang VTC Spring 2009-IEEE 69th Vehicular Technology Conference, 1-5, 2009	3	2009

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