Number of items: 16.
2020
Quiros, A. C., Murray-Smith, R. and Yuan, K.
(2020)
PathologyGAN: Learning Deep Representations of Cancer Tissue.
Proceedings of Machine Learning Research, 124,
pp. 669-695.
Gerstung, M. et al.
(2020)
The evolutionary history of 2,658 cancers.
Nature, 578(7793),
pp. 122-128.
(doi: 10.1038/s41586-019-1907-7)
(PMID:32025013)
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, et al.
(2020)
Pan-cancer analysis of whole genomes.
Nature, 578(7793),
pp. 82-93.
(doi: 10.1038/s41586-020-1969-6)
Cmero, M. et al.
(2020)
Inferring structural variant cancer cell fraction.
Nature Communications, 11,
730.
(doi: 10.1038/s41467-020-14351-8)
(PMID:32024845)
(PMCID:PMC7002525)
Rubanova, Y., Shi, R., Harrigan, C. F., Li, R., Wintersinger, J., Sahin, N., Deshwar, A., Morris, Q. and ,
(2020)
Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig.
Nature Communications, 11,
731.
(doi: 10.1038/s41467-020-14352-7)
(PMID:32024834)
(PMCID:PMC7002414)
2018
Tarabichi, M. et al.
(2018)
Neutral tumor evolution?
Nature Genetics, 50(12),
pp. 1630-1633.
(doi: 10.1038/s41588-018-0258-x)
(PMID:30374075)
(PMCID:PMC6548558)
Dong, L.-Q. et al.
(2018)
Spatial and temporal clonal evolution of intrahepatic cholangiocarcinoma.
Journal of Hepatology, 69(1),
pp. 89-98.
(doi: 10.1016/j.jhep.2018.02.029)
(PMID:29551704)
2017
de Santiago, I., Liu, W., Yuan, K. , O'Reilly, M., Chilamakuri, C. S. R., Ponder, B. A.J., Meyer, K. B. and Markowetz, F.
(2017)
BaalChIP: Bayesian analysis of allele-specific transcription factor binding in cancer genomes.
Genome Biology, 18,
39.
(doi: 10.1186/s13059-017-1165-7)
(PMID:28235418)
(PMCID:PMC5326502)
2016
Marass, F., Mouliere, F., Yuan, K. , Rosenfeld, N. and Markowetz, F.
(2016)
A phylogenetic latent feature model for clonal deconvolution.
Annals of Applied Statistics, 10(4),
pp. 2377-2404.
(doi: 10.1214/16-AOAS986)
2015
Yuan, K. , Sakoparnig, T., Markowetz, F. and Beerenwinkel, N.
(2015)
BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies.
Genome Biology, 16(1),
p. 36.
(doi: 10.1186/s13059-015-0592-6)
(PMID:25786108)
(PMCID:PMC4359483)
Wang, X., Yuan, K. and Markowetz, F.
(2015)
Joining the dots: network analysis of gene perturbation data.
In: Markowetz, F. and Boutros, M. (eds.)
Systems Genetics: Linking Genotypes and Phenotypes.
Series: Cambridge series in systems genetics.
Cambridge University Press.
ISBN 9781107013841
2014
Wang, X., Yuan, K. , Hellmayr, C., Liu, W. and Markowetz, F.
(2014)
Reconstructing evolving signalling networks by hidden Markov nested effects models.
Annals of Applied Statistics, 8(1),
pp. 448-480.
(doi: 10.1214/13-AOAS696)
2012
Yuan, K. , Girolami, M. and Niranjan, M.
(2012)
Markov chain Monte Carlo methods for state-space models with point process observations.
Neural Computation, 24(6),
pp. 1462-1486.
(doi: 10.1162/NECO_a_00281)
(PMID:22364499)
2011
Mangion, A. Z., Yuan, K. , Kadirkamanathan, V., Niranjan, M. and Sanguinetti, G.
(2011)
Online variational inference for state-space models with point-process observations.
Neural Computation, 23(8),
pp. 1967-1999.
(doi: 10.1162/NECO_a_00156)
2010
Yuan, K. and Niranjan, M.
(2010)
Estimating a state-space model from point process observations: a note on convergence.
Neural Computation, 22(8),
pp. 1993-2001.
(doi: 10.1162/neco.2010.07-09-1047)
(PMID:20337540)
2009
Yuan, K. , Liu, W. and Yang, L.-L.
(2009)
Reliability-Aided Multiuser Detection in Time-Frequency-Domain Spread Multicarrier DS-CDMA Systems.
In: IEEE 69th Vehicular Technology Conference, 26-29 April 2009,
pp. 1-5.
(doi:10.1109/VETECS.2009.5073833)
This list was generated on Wed Jan 27 19:13:22 2021 GMT.