Analysis of Binary Feature Mapping Rules for Promoter Recognition in Imbalanced DNA Sequence Datasets using Support Vector Machine [DNA Mapping Rules] [ Paper Break Down ]
Paper breakdown is series of post, where I read one paper and just write some notes down. For today, I will go though: “Analysis of Binary Feature Mapping Rules for Promoter Recognition in Imbalanced DNA Sequence Datasets using Support Vector Machine”
***These are notes to myself ***
DNA Mapping → This is the most important part, here we are going to focus on the vector representation of the DNA (ACGT). And there are many other ways.
1 → 4 Rule
The most simple rule so we are going to put a one if an element exist in that space.
1 → 2 Rule
Again very simple rule → Do not need to think much, just 00 01 10 11 in any different orders.
1 → 1 Rule
This is the golden rule that I didn’t even know it exist.
2 → 1 Rule
This rule — is more natural pair, and it is good for some cases. However, I don’t think I have enough knowledge regarding bio to actually understand this rule.
Summary
Reference
1. [1]2018. [Online]. Available: https://www.researchgate.net/publication/224347982_Analysis_of_binary_feature_mapping_rules_for_promoter_recognition_in_imbalanced_DNA_sequence_datasets_using_Support_Vector_Machine. [Accessed: 07- Mar- 2018].
