Các bài viết có thể truy cập công khai - Jan HasenauerTìm hiểu thêm
Không có ở bất kỳ nơi nào: 3
Determinants of robustness in spindle assembly checkpoint signalling
S Heinrich, EM Geissen, J Kamenz, S Trautmann, C Widmer, P Drewe, ...
Nature Cell Biology 15 (11), 1328-1339, 2013
Các cơ quan ủy nhiệm: German Research Foundation
TGF-β specifies TFH versus TH17 cell fates in murine CD4+ T cells through c-Maf
Y Chang, L Bach, M Hasiuk, L Wen, T Elmzzahi, C Tsui, N Gutiérrez-Melo, ...
Science immunology 9 (93), eadd4818, 2024
Các cơ quan ủy nhiệm: Swiss National Science Foundation, National Health and Medical Research …
Data infrastructure for integrating clinical data in the large-scale international ORCHESTRA cohort: from data import to federated analysis
M Puskaric, HA Attieh, F Prasser, R Gusinow, C Dellacasa, E Rossi, ...
2024 IEEE International Conference on Big Data (BigData), 7998-8004, 2024
Các cơ quan ủy nhiệm: European Commission
Bài viết đã ngừng công khai: 5
Network plasticity of pluripotency transcription factors in embryonic stem cells
A Filipczyk, C Marr, S Hastreiter, J Feigelman, M Schwarzfischer, ...
Nature Cell Biology 17 (10), 1235-1246, 2015
Các cơ quan ủy nhiệm: German Research Foundation, European Commission, Human Frontier Science Program
Tác giả chịu trách nhiệm: T Schroeder, FJ Theis
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson’s rule
S Hug, M Schwarzfischer, J Hasenauer, C Marr, FJ Theis
Statistics and Computing 26, 663-677, 2016
Các cơ quan ủy nhiệm: German Research Foundation, European Commission
Tác giả chịu trách nhiệm: FJ Theis
Dynamical optimization using reduced order models: A method to guarantee performance
J Hasenauer, M Löhning, M Khammash, F Allgöwer
Journal of Process Control 22 (8), 1490-1501, 2012
Các cơ quan ủy nhiệm: German Research Foundation
Tác giả chịu trách nhiệm: F Allgöwer
Computation of the posterior entropy in a Bayesian framework for parameter estimation in biological networks
A Kramer, J Hasenauer, F Allgöwer, N Radde
Proceedings of the IEEE Multi-Conference on Systems and Control, 493-498, 2010
Các cơ quan ủy nhiệm: German Research Foundation
Tác giả chịu trách nhiệm: N Radde
Inference of finite mixture models and the effect of binning
EM Geissen, J Hasenauer, NE Radde
Statistical applications in genetics and molecular biology 18 (4), 20180035, 2019
Các cơ quan ủy nhiệm: German Research Foundation
Tác giả chịu trách nhiệm: NE Radde
Có tại một số nơi: 151
Characterization of rare, dormant, and therapy-resistant cells in acute lymphoblastic leukemia
S Ebinger, EZ Özdemir, C Ziegenhain, S Tiedt, CC Alves, M Grunert, ...
Cancer Cell 30 (6), 849-862, 2016
Các cơ quan ủy nhiệm: German Research Foundation, Cancer Research UK, UK Medical Research Council …
Scalable parameter estimation for genome-scale biochemical reaction networks
F Fröhlich, B Kaltenbacher, FJ Theis, J Hasenauer
PLoS Computational Biology 13 (1), e1005331, 2017
Các cơ quan ủy nhiệm: German Research Foundation, Helmholtz Association, Federal Ministry of …
Benchmarking optimization methods for parameter estimation in large kinetic models
AF Villaverde, F Fröhlich, D Weindl, J Hasenauer, JR Banga
Bioinformatics 35 (5), 830-838, 2019
Các cơ quan ủy nhiệm: German Research Foundation, European Commission, Government of Spain
COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms
M Ostaszewski, A Mazein, ME Gillespie, I Kuperstein, A Niarakis, ...
Scientific Data 7 (1), 1-4, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
Efficient parameter estimation enables the prediction of drug response using a mechanistic pan-cancer pathway model
F Fröhlich, T Kessler, D Weindl, A Shadrin, L Schmiester, H Hache, ...
Cell Systems 7 (6), 567-579. e6, 2018
Các cơ quan ủy nhiệm: German Research Foundation, Helmholtz Association, European Commission …
Method of conditional moments (MCM) for the chemical master equation
J Hasenauer, V Wolf, A Kazeroonian, FJ Theis
Journal of Mathematical biology 69 (3), 687-735, 2014
Các cơ quan ủy nhiệm: European Commission
Identification of models of heterogeneous cell populations from population snapshot data
J Hasenauer, S Waldherr, M Doszczak, N Radde, P Scheurich, F Allgöwer
BMC Bioinformatics 12 (1), 1-15, 2011
Các cơ quan ủy nhiệm: German Research Foundation
Inferring population dynamics from single-cell RNA-sequencing time series data
DS Fischer, AK Fiedler, EM Kernfeld, RMJ Genga, A Bastidas-Ponce, ...
Nature Biotechnology 37 (4), 461-468, 2019
Các cơ quan ủy nhiệm: US National Institutes of Health, German Research Foundation, Helmholtz …
PESTO: Parameter EStimation TOolbox
P Stapor, D Weindl, B Ballnus, S Hug, C Loos, A Fiedler, S Krause, ...
Bioinformatics 34 (4), 705-707, 2018
Các cơ quan ủy nhiệm: German Research Foundation, European Commission, Federal Ministry of …
GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models
TS Ligon, F Fröhlich, OT Chiş, JR Banga, E Balsa-Canto, J Hasenauer
Bioinformatics 34 (8), 1421-1423, 2018
Các cơ quan ủy nhiệm: German Research Foundation, European Commission
pyABC: distributed, likelihood-free inference
E Klinger, D Rickert, J Hasenauer
Bioinformatics 34 (20), 3591-3593, 2018
Các cơ quan ủy nhiệm: European Commission, Federal Ministry of Education and Research, Germany
COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
M Ostaszewski, A Niarakis, A Mazein, I Kuperstein, R Phair, ...
Molecular systems biology 17 (10), e10387, 2021
Các cơ quan ủy nhiệm: US Department of Energy, US National Institutes of Health, European …
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