scholarly journals Multi-RELIEF: a method to recognize specificity determining residues from multiple sequence alignments using a Machine-Learning approach for feature weighting

2007 ◽  
Vol 24 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Kai Ye ◽  
K. Anton Feenstra ◽  
Jaap Heringa ◽  
Adriaan P. IJzerman ◽  
Elena Marchiori
Keyword(s):  
Machine Learning ◽  
Feature Weighting ◽  
Learning Approach ◽  
Sequence Alignments ◽  
Multiple Sequence ◽  
Multiple Sequence Alignments ◽  
Machine Learning Approach

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments

2015 ◽  
Vol 164 ◽  
pp. 123-136 ◽  
Author(s):  
Francisco M. Ortuño ◽  
Olga Valenzuela ◽  
Beatriz Prieto ◽  
Maria Jose Saez-Lara ◽  
Carolina Torres ◽  
...  
Keyword(s):  
Machine Learning ◽  
Regression Models ◽  
Sequence Alignments ◽  
Multiple Sequence ◽  
Multiple Sequence Alignments

1552-P: Machine Learning Approach to Decision-Making for Initial Insulin Use in Japanese Patients with Type 2 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1552-P
Author(s):  
KAZUYA FUJIHARA ◽  
MAYUKO H. YAMADA ◽  
YASUHIRO MATSUBAYASHI ◽  
MASAHIKO YAMAMOTO ◽  
TOSHIHIRO IIZUKA ◽  
...  
Keyword(s):  
Machine Learning ◽  
Type 2 Diabetes ◽  
Decision Making ◽  
Japanese Patients ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Insulin Use

A Machine Learning Approach to Jet-Surface Interaction Noise Modeling

2020 ◽  
Author(s):  
Clifford A. Brown ◽  
Jonny Dowdall ◽  
Brian Whiteaker ◽  
Lauren McIntyre
Keyword(s):  
Machine Learning ◽  
Surface Interaction ◽  
Learning Approach ◽  
Noise Modeling ◽  
Machine Learning Approach
Sign in / Sign up

Export Citation Format

Share Document