Improving the classification performance with group lasso-based ranking method in high dimensional correlated data

Abhijeet R Patil,Bong-Jin Choi,Sangjin Kim

Improving the classification performance with group lasso-based ranking method in high dimensional correlated data

2020

Abhijeet R Patil
Bong-Jin Choi
Sangjin Kim

The high-throughput correlated DNA methylation (DNAmeth) dataset generated from Illumina Infinium Human Methylation 27 (IIHM 27K) BeadChip assay. In the DNAmeth data, there are several CpG sites fo...

Keywords:

Chemistry
Computational chemistry
Ranking
high dimensional
group lasso
Artificial intelligence
Machine learning

Correction
Source
Cite
Save
Machine Reading By IdeaReader

References

Citations