Jack Kuipers
ETH Zurich
130 Papers
418 Citations
Jack Kuipers is an academic researcher from ETH Zurich. The author has contributed to research in topics: Semiclassical physics & Random matrix. The author has an hindex of 25, co-authored 102 publications. Previous affiliations of Jack Kuipers include École Polytechnique Fédérale de Lausanne & University of Regensburg.
Chat about Author
Papers
Tree inference for single-cell data
TL;DR: In this paper, a stochastic search algorithm is proposed to identify the evolutionary history of a tumor from noisy and incomplete mutation profiles of single cells using a Markov chain Monte Carlo sampling scheme.
Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics.
Kiyomi Morita,Kiyomi Morita,Feng Wang,Katharina Jahn,Katharina Jahn,Tianyuan Hu,Tomoyuki Tanaka,Yuya Sasaki,Jack Kuipers,Jack Kuipers,Sanam Loghavi,Sa A. Wang,Yuanqing Yan,Ken Furudate,Ken Furudate,Jairo Matthews,Latasha Little,Curtis Gumbs,Jianhua Zhang,Xingzhi Song,Erika Thompson,Keyur P. Patel,Carlos E. Bueso-Ramos,Courtney D. DiNardo,Farhad Ravandi,Elias Jabbour,Michael Andreeff,Jorge E. Cortes,Kapil N. Bhalla,Guillermo Garcia-Manero,Hagop M. Kantarjian,Marina Konopleva,Daisuke Nakada,Nicholas Navin,Niko Beerenwinkel,Niko Beerenwinkel,P. Andrew Futreal,Koichi Takahashi +37 more
TL;DR: Using a single-cell DNA sequencing, the clonal architecture and mutational histories of 123 acute myeloid leukemia (AML) patients are reported, revealing cell-level mutation co-occurrence and enables reconstruction ofmutational histories characterized by linear and branching patterns of clonal evolution.
Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors.
Jack Kuipers,Katharina Jahn,Katharina Jahn,Benjamin J. Raphael,Niko Beerenwinkel,Niko Beerenwinkel +5 more
TL;DR: A rigorous statistical framework is developed to test the general validity of the infinite sites assumption with single-cell sequencing data and indicates that more complex models are needed to adequately quantify intra-tumor heterogeneity for more effective cancer treatment.
183
Advances in understanding tumour evolution through single-cell sequencing.
TL;DR: The state of the art methods for understanding the phylogeny encoded in bulk or single-cell sequencing data are presented, and future directions for developing more comprehensive and informative pictures of tumour evolution are highlighted.
148
Using Directed Acyclic Graphs in Epidemiological Research in Psychosis: An Analysis of the Role of Bullying in Psychosis.
Giusi Moffa,Giusi Moffa,Gennaro Catone,Jack Kuipers,Elizabeth Kuipers,Elizabeth Kuipers,Daniel Freeman,Steven Marwaha,Belinda R Lennox,Matthew R. Broome,Matthew R. Broome,Paul Bebbington +11 more
TL;DR: While causality cannot be fully determined from cross-sectional data, DAGs indicate the relationships providing the best fit, and thereby advance investigation of the complex interactions seen in psychiatry, including the mechanisms underpinning psychiatric symptoms.
123