An Improved Systematic Approach to Predicting Transcription Factor Target Genes Using Support Vector Machine

Open Access

Peer-reviewed

Research Article

Song Cui ,

* E-mail: song.cui@mtsu.edu

Affiliation School of Agribusiness and Agriscience, Middle Tennessee State University, Murfreesboro, Tennessee, United States of America
⨯
Eunseog Youn,

Affiliation Department of Computer Science, Texas Tech University, Lubbock, Texas, United States of America
⨯
Joohyun Lee,

Affiliation Department of Plant and Soil Science, Texas Tech University, Lubbock, Texas, United States of America
⨯
Stephan J. Maas

Affiliation Department of Plant and Soil Science, Texas Tech University, Lubbock, Texas, United States of America
⨯

Reader Comments (0)

Support vector machines
Is the Subject Area "Support vector machines" applicable to this article?

Thanks for your feedback.
Algorithms
Is the Subject Area "Algorithms" applicable to this article?

Thanks for your feedback.
Transcription factors
Is the Subject Area "Transcription factors" applicable to this article?

Thanks for your feedback.
DNA transcription
Is the Subject Area "DNA transcription" applicable to this article?

Thanks for your feedback.
Monte Carlo method
Is the Subject Area "Monte Carlo method" applicable to this article?

Thanks for your feedback.
Arabidopsis thaliana
Is the Subject Area "Arabidopsis thaliana" applicable to this article?

Thanks for your feedback.
Sequence motif analysis
Is the Subject Area "Sequence motif analysis" applicable to this article?

Thanks for your feedback.
Transcriptional control
Is the Subject Area "Transcriptional control" applicable to this article?

Thanks for your feedback.