Sequence-Based Machine Learning Methods in Computational Biology

With the development of high-throughput techniques, genomic and proteomic data were increased exponentially. In order to rapidly and effectively mine the biological functions from these data, it is highly desirable to develop computational methods. As excellent complements to experimental techniques, sequence-based computational methods have shown tremendous advances in decoding the genomic and proteomic data. However, the application of machine learning method in genomics and proteomics fell behind the data growth. Therefore, this special issue will focus on the aspects of application of machine learning method in genomics and proteomics.