119 results on '"Emmert-Streib, Frank"'
Search Results
2. Dimension Reduction
3. Data
4. General Prediction Models
5. General Error Measures
6. Deep Learning
7. Regularization
8. Resampling Methods
9. Hypothesis Testing
10. Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
11. Multiple Testing Corrections
12. Foundations of Learning from Data
13. Model Selection
14. Linear Regression Models
15. Survival Analysis
16. Introduction to Learning from Data
17. Classification
18. Statistical Inference
19. Mathematical Foundations of Data Science Using R
20. Modern and Interdisciplinary Problems in Network Science
21. Mathematical Modeling in Systems Biology
22. Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond
23. Inference and Analysis of Gene Regulatory Networks in R
24. What Is Quantitative Graph Theory?
25. Overview of Public Cancer Databases, Resources, and Visualization Tools
26. Comparing Biological Networks: A Survey on Graph Classifying Techniques
27. Network-Based Methods for Computational Diagnostics by Means of R
28. Large-Scale Statistical Inference of Gene Regulatory Networks: Local Network-Based Measures
29. A Brief Introduction to Complex Networks and Their Analysis
30. Mining Graph Patterns in Web-based Systems: A Conceptual View
31. Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes
32. Towards Network Complexity
33. Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging
34. A Novel Stochastic Learning Rule for Neural Networks
35. A Neurobiologically Motivated Model for Self-organized Learning
36. Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model
37. Index.
38. What if the Fit is Unfit? Criteria for Biological Systems Estimation beyond Residual Errors.
39. Protein Network Analysis for Disease Gene Identification and Prioritization.
40. Elucidation of General and Condition-Dependent Gene Pathways Using Mixture Models and Bayesian Networks.
41. Representing Cancer Cell Trajectories in a Phase-Space Diagram: Switching Cellular States by Biological Phase Transitions.
42. Network Screening: A New Method to Identify Active Networks from an Ensemble of Known Networks.
43. Transcriptional Network Inference Based on Information Theory.
44. Computational Reconstruction of Protein Interaction Networks.
45. Front Matter.
46. Network Analysis to Interpret Complex Phenotypes.
47. Gene Regulatory Networks Inference: Combining a Genetic Programming and H∞ Filtering Approach.
48. Correlation Network Analysis and Knowledge Integration.
49. Boolean Analysis of Gene Expression Datasets.
50. Pathways and Networks as Functional Descriptors for Human Disease and Drug Response Endpoints.
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