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Sarah Filippi

Showing results (11-20 of 31) with videos related to

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Journal of the Royal Society, Interface|September 4, 2015
Information processing by simple molecular motifs and susceptibility to noiseSiobhan S Mc Mahon, Oleg Lenive, Sarah Filippi, et al.
Nature Communications|November 4, 2018
An information-theoretic framework for deciphering pleiotropic and noisy biochemical signalingTomasz Jetka, Karol Nienałtowski, Sarah Filippi, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 25, 2023
Automated calibration for stability selection in penalised regression and graphical modelsBarbara Bodinier, Sarah Filippi, Therese Haugdahl Nøst, et al.
Bioinformatics (Oxford, England)|October 17, 2023
Automated calibration of consensus weighted distance-based clustering approaches using sharpBarbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues, et al.
Bioinformatics (Oxford, England)|December 12, 2017
PEITH(Θ): perfecting experiments with information theory in Python with GPU supportLeander Dony, Jonas Mackerodt, Scott Ward, et al.
Scientific Reports|November 18, 2020
Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disordersArinbjörn Kolbeinsson, Sarah Filippi, Yannis Panagakis, et al.
Nature Protocols|January 25, 2014
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computationJuliane Liepe, Paul Kirk, Sarah Filippi, et al.
Seminars in Cell & Developmental Biology|June 24, 2014
Information theory and signal transduction systems: from molecular information processing to network inferenceSiobhan S Mc Mahon, Aaron Sim, Sarah Filippi, et al.
Current Biology : CB|February 16, 2020
Inference of Multisite Phosphorylation Rate Constants and Their Modulation by Pathogenic MutationsEyan Yeung, Sarah McFann, Lewis Marsh, et al.
Nature Communications|December 11, 2021
Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malariaTheresa Reiker, Monica Golumbeanu, Andrew Shattock, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Journal of the Royal Society, Interface|September 4, 2015
Information processing by simple molecular motifs and susceptibility to noiseSiobhan S Mc Mahon, Oleg Lenive, Sarah Filippi, et al.
Nature Communications|November 4, 2018
An information-theoretic framework for deciphering pleiotropic and noisy biochemical signalingTomasz Jetka, Karol Nienałtowski, Sarah Filippi, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 25, 2023
Automated calibration for stability selection in penalised regression and graphical modelsBarbara Bodinier, Sarah Filippi, Therese Haugdahl Nøst, et al.
Bioinformatics (Oxford, England)|October 17, 2023
Automated calibration of consensus weighted distance-based clustering approaches using sharpBarbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues, et al.
Bioinformatics (Oxford, England)|December 12, 2017
PEITH(Θ): perfecting experiments with information theory in Python with GPU supportLeander Dony, Jonas Mackerodt, Scott Ward, et al.
Scientific Reports|November 18, 2020
Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disordersArinbjörn Kolbeinsson, Sarah Filippi, Yannis Panagakis, et al.
Nature Protocols|January 25, 2014
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computationJuliane Liepe, Paul Kirk, Sarah Filippi, et al.
Seminars in Cell & Developmental Biology|June 24, 2014
Information theory and signal transduction systems: from molecular information processing to network inferenceSiobhan S Mc Mahon, Aaron Sim, Sarah Filippi, et al.
Current Biology : CB|February 16, 2020
Inference of Multisite Phosphorylation Rate Constants and Their Modulation by Pathogenic MutationsEyan Yeung, Sarah McFann, Lewis Marsh, et al.
Nature Communications|December 11, 2021
Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malariaTheresa Reiker, Monica Golumbeanu, Andrew Shattock, et al.
Pageof 4