AIMC Topic: Saccharomyces cerevisiae

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Semi-supervised prediction of gene regulatory networks using machine learning algorithms.

Journal of biosciences
Use of computational methods to predict gene regulatory networks (GRNs) from gene expression data is a challenging task. Many studies have been conducted using unsupervised methods to fulfill the task; however, such methods usually yield low predicti...

Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis.

Cell
Proteomics has proved invaluable in generating large-scale quantitative data; however, the development of systems approaches for examining the proteome in vivo has lagged behind. To evaluate protein abundance and localization on a proteome scale, we ...