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 of actin and tropomodulin-gelsolin chimera.**
 **A.** Results of test 1, convergence of the model score, for the 1618 good-scoring models; the scores do not continue to improve as more models are computed essentially independently. The error bar represents the standard deviations of the best scores, estimated by repeating sampling of models 10 times. The red dotted line indicates a lower bound reference on the total score. **B.** Results of test 2, testing similarity of model score distributions between samples 1 (red) and 2 (blue); the difference in distribution of scores is significant (Kolmogorov-Smirnov two-sample test p-value less than 0.05) but the magnitude of the difference is small (the Kolmogorov-Smirnov two-sample test statistic D is 0.02); thus, the two score distributions are effectively equal. **C.** Results of test 3, three criteria for determining the sampling precision (Y-axis), evaluated as a function of the RMSD clustering threshold (X-axis). First, the p-value is computed using the χ<sup>2</sup>-test for homogeneity of proportions (red dots). Second, an effect size for the χ<sup>2</sup>-test is quantified by the Cramer's *V* value (blue squares). Third, the population of models in sufficiently large clusters (containing at least 10 models from each sample) is shown as green triangles. The vertical dotted grey line indicates the RMSD clustering threshold at which ~~three~~ two conditions are satisfied (~~p-value \> 0.05 [dotted red line],~~ Cramer's *V* \< 0.10 [dotted blue line], and the population of clustered models \> 0.80 [dotted green line]), thus defining the sampling precision of 3.5Å <u>(See an important note below for currently implemented criteria)*</u>. **D.** Populations of sample 1 and 2 models in the clusters obtained by threshold-based clustering using the RMSD threshold of 3.5Å. Cluster precision is shown for each cluster. **E.** and **F.** Results of test 4: comparison of localization probability densities of models from sample A and sample B for the major cluster (84% population). The cross-correlation of the density maps of the two samples is 0.99 for the gelsolin (red) and tropomysin (blue) maps and 0.97 for the actin map (green).
 
-<u>*NOTE: It's important to note that the protocol implementation for the BJ 2017 paper (at salilab.org/sampcon) is slightly different and more conservative than the current imp-sampcon implementation (at [github.com/salilab/imp-sampcon](https://github.com/salilab/imp-sampcon)). See the section "Minor updates to the protocol from the [BJ Paper](https://pubmed.ncbi.nlm.nih.gov/29211988)  " in the README, related issues [issue #39](https://github.com/salilab/imp-sampcon/issues/39) and [issue #5](https://github.com/salilab/actin_tutorial/issues/5). Currently, the sampling precision defined here ([github.com/salilab/imp-sampcon](https://github.com/salilab/imp-sampcon)) is as follows: The minimum RMSD clustering threshold (vertical dotted line) at which both conditions are satisfied, i.e., Cramer's V < 0.10 [dotted blue line], and the population of clustered models > 0.80 [dotted green line].</u>
+<u><i>NOTE: It's important to note that the protocol implementation for the BJ 2017 paper (at salilab.org/sampcon) is slightly different and more conservative than the current imp-sampcon implementation (at [github.com/salilab/imp-sampcon](https://github.com/salilab/imp-sampcon)). See the section "Minor updates to the protocol from the [BJ Paper](https://pubmed.ncbi.nlm.nih.gov/29211988)  " in the README, related issues [issue #39](https://github.com/salilab/imp-sampcon/issues/39) and [issue #5](https://github.com/salilab/actin_tutorial/issues/5). Currently, the sampling precision defined here ([github.com/salilab/imp-sampcon](https://github.com/salilab/imp-sampcon)) is as follows: The minimum RMSD clustering threshold (vertical dotted line) at which both conditions are satisfied, i.e., Cramer's V < 0.10 [dotted blue line], and the population of clustered models > 0.80 [dotted green line].</i></u>
 
 # Visualizing models {#visualization}