calculate PWM similarity
Overview:
Most methods calculate the similarity of each column, and then sum all columns up.
For each column, people have used the following measures:
1. Pearson correlation coeffecient [8871566, 10698627, 15735639]
2. K-L distance [15980506 (with web tool), 12015892, 14534164]
3. Euclidean distance [14985506]
4. Kai-square test [15319260 (dedicated paper)]
5. Fisher's Exact test [15319260]
6. Average log likelihood ratio [14668220]
7. SW [15066426]
Shobhit Gupta et al. come up with a idea to use p-value measure column similarity[17324271]. The calculation of p-value can be based on any of the above seven measures.
Most methods calculate the similarity of each column, and then sum all columns up.
For each column, people have used the following measures:
1. Pearson correlation coeffecient [8871566, 10698627, 15735639]
2. K-L distance [15980506 (with web tool), 12015892, 14534164]
3. Euclidean distance [14985506]
4. Kai-square test [15319260 (dedicated paper)]
5. Fisher's Exact test [15319260]
6. Average log likelihood ratio [14668220]
7. SW [15066426]
Shobhit Gupta et al. come up with a idea to use p-value measure column similarity[17324271]. The calculation of p-value can be based on any of the above seven measures.