Abstract

paper outline

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Abstract by Mind Map: Abstract

1. Introduction

1.1. Thesis Statement

1.2. Introduce your arguments

2. Data and evaluation metrics

2.1. Argument

2.2. Example

2.3. Sources

3. Comparison of imputation algorithms as predictors

3.1. Argument

3.2. Example

3.3. Sources

4. Neural network architecture

4.1. Argument

4.2. Example

4.3. Sources

5. Data encoding

5.1. Restate thesis statement

5.2. Summarize major points of essay

5.3. Final thought

6. Training

6.1. parameter choosing: initiate weight = HeNormal / glorot_normal, activation function = relu,

6.2. Summarize major points of essay

6.3. Final thought

7. Result

7.1. Restate thesis statement

7.2. Summarize major points of essay

7.3. Final thought

8. batch effect removal?

9. Quantitative analysis? Data from MeRIP-seqencing?

10. Discussion

10.1. Restate thesis statement

10.2. Summarize major points of essay

10.3. Final thought

11. m6A RNA methylome?

12. Unsupervised learning?

13. auto-encoder

14. Missing value imputation and batch effects removal in m6A RNA methylome using auto-encoder