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Showing below up to 20 results in range #1 to #20.

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1. (hist) ‎Funding ‎[116 bytes]
2. (hist) ‎DMR Calling from BSSEQ: ‎[212 bytes]
3. (hist) ‎Recursive partitioning for missing data imputation in the presence of interaction effects ‎[217 bytes]
4. (hist) ‎Project Imputation in Proteomics ‎[218 bytes]
5. (hist) ‎Testing structural identifiability by a simple scaling method ‎[226 bytes]
6. (hist) ‎Robust calibration of hierarchical population models for heterogeneous cell populations ‎[253 bytes]
7. (hist) ‎Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy ‎[273 bytes]
8. (hist) ‎Data-driven reverse engineering of signaling pathways using ensembles of dynamic models ‎[278 bytes]
9. (hist) ‎Efficient computation of steady states in large-scale ODE models of biochemical reaction networks ‎[280 bytes]
10. (hist) ‎Parameter estimation in models of biological oscillators: an automated regularised estimation approach ‎[289 bytes]
11. (hist) ‎Mini-batch optimization enables training of ODE models on large-scale datasets ‎[309 bytes]
12. (hist) ‎Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems ‎[312 bytes]
13. (hist) ‎Efficient parameterization of large-scale dynamic models based on relative measurements ‎[330 bytes]
14. (hist) ‎Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach ‎[335 bytes]
15. (hist) ‎Tracking for parameter and state estimation in possibly misspecified partially observed linear Ordinary Differential Equations ‎[352 bytes]
16. (hist) ‎Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis ‎[354 bytes]
17. (hist) ‎Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks ‎[355 bytes]
18. (hist) ‎Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis ‎[390 bytes]
19. (hist) ‎Help ‎[478 bytes]
20. (hist) ‎A comparative study of evaluating missing value imputation methods in label-free proteomics ‎[513 bytes]

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