RNA secondary structure prediction using conditional random fields model
Non-coding RNAs (ncRNAs) have important biological functions in living cells dependent on their conserved secondary structures. Here, we focus on computational RNA secondary structure prediction by exploring primary sequences and complementary base pair interactions using the Conditional Random Fiel...
Saved in:
Main Authors: | Sitthichoke Subpaiboonkit, Chinae Thammarongtham, Robert W. Cutler, Jeerayut Chaijaruwanich |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876225990&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52255 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
RNA secondary structure prediction using conditional random fields model
by: Sitthichoke Subpaiboonkit, et al.
Published: (2018) -
RNA family classification using the conditional random fields model
by: Sitthichoke Subpaiboonkit, et al.
Published: (2018) -
RNA family classification using the conditional random fields model
by: Subpaiboonkit S., et al.
Published: (2014) -
Prediction of the disulphide bonding state of cysteines in proteins using Conditional Random Fields
by: Watshara Shoombuatong, et al.
Published: (2018) -
Prediction of the disulphide bonding state of cysteines in proteins using Conditional Random Fields
by: Shoombuatong W., et al.
Published: (2017)