Search

Your search keyword '"Girolami, Mark"' showing total 59 results

Search Constraints

Start Over You searched for: Author "Girolami, Mark" Remove constraint Author: "Girolami, Mark" Database MEDLINE Remove constraint Database: MEDLINE
59 results on '"Girolami, Mark"'

Search Results

1. Inferring networks from time series: A neural approach.

2. Neural parameter calibration for large-scale multiagent models.

3. Scaling digital twins from the artisanal to the industrial.

4. Statistical finite elements for misspecified models.

5. Multi-fidelity approach to Bayesian parameter estimation in subsurface heat and fluid transport models.

6. In vivo multiplex molecular imaging of vascular inflammation using surface-enhanced Raman spectroscopy.

7. Bat detective-Deep learning tools for bat acoustic signal detection.

8. Analysis of free text in electronic health records for identification of cancer patient trajectories.

9. Statistical analysis of differential equations: introducing probability measures on numerical solutions.

10. Decoding post-stroke motor function from structural brain imaging.

11. Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry.

12. Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction.

13. Regulation of post-Golgi LH3 trafficking is essential for collagen homeostasis.

14. Preferential Attachment of Specific Fluorescent Dyes and Dye Labeled DNA Sequences in a Surface Enhanced Raman Scattering Multiplex.

15. Probabilistic numerics and uncertainty in computations.

16. Markov Chain Monte Carlo from Lagrangian Dynamics.

17. EWS-FLI1 employs an E2F switch to drive target gene expression.

18. Pseudo-Marginal Bayesian Inference for Gaussian Processes.

19. MCMC_CLIB-an advanced MCMC sampling package for ODE models.

20. Quantification of functionalised gold nanoparticle-targeted knockdown of gene expression in HeLa cells.

21. The silicon trypanosome: a test case of iterative model extension in systems biology.

22. Geodesic Monte Carlo on Embedded Manifolds.

23. Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach.

24. Online learning with (multiple) kernels: a review.

25. Bayesian approaches for mechanistic ion channel modeling.

26. Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation.

27. Markov chain Monte Carlo methods for state-space models with point process observations.

28. Unique reporter-based sensor platforms to monitor signalling in cells.

29. Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods.

30. Protein interaction sentence detection using multiple semantic kernels.

31. Protein interaction detection in sentences via Gaussian processes: a preliminary evaluation.

32. Addressing the challenge of defining valid proteomic biomarkers and classifiers.

33. Predictive response-relevant clustering of expression data provides insights into disease processes.

34. Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.

35. Multiclass relevance vector machines: sparsity and accuracy.

36. Recommendations for biomarker identification and qualification in clinical proteomics.

37. The silicon trypanosome.

39. Systems biology to battle vascular disease.

40. Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species.

41. Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species.

42. Probabilistic assignment of formulas to mass peaks in metabolomics experiments.

43. Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models.

44. BioBayes: a software package for Bayesian inference in systems biology.

45. BRCA1 and BRCA2 missense variants of high and low clinical significance influence lymphoblastoid cell line post-irradiation gene expression.

46. Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection.

47. ParCrys: a Parzen window density estimation approach to protein crystallization propensity prediction.

48. Bayesian ranking of biochemical system models.

49. Vbmp: variational Bayesian Multinomial Probit Regression for multi-class classification in R.

50. Bayesian model-based inference of transcription factor activity.

Catalog

Books, media, physical & digital resources