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Figure 1 | BMC Bioinformatics

Figure 1

From: Transcript features alone enable accurate prediction and understanding of gene expression in S. cerevisiae

Figure 1

A flow diagram and illustration of the study. A-B. Based on a biophysical understanding of the translation process we extract features from the three parts of the transcript (5'UTR/ORF/3'UTR), corresponding to the three stages of translation (initiation, elongation, termination); but also to other stages in gene expression (transcription, mRNA and protein degradation), and from the entire transcript. C. Large scale cellular measurements of gene expression (mRNA, PA, RD) are collected and normalized. D.-F. Machine learning and feature selection approaches are employed based on the features and cellular data (D.) to infer predictors of gene expression (E. ) and improve the biophysical understanding of the gene expression process, its evolution, and its modeling (F.).

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BMC Bioinformatics

ISSN: 1471-2105

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