2022
DOI: 10.1101/2022.05.19.492662
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TransCell: In silico characterization of genomic landscape and cellular responses from gene expressions through a two-step deep transfer learning

Abstract: Gene expression profiling of new or modified cell lines becomes routine today; however, obtaining comprehensive molecular characterization and cellular responses for a variety of cell lines, including those derived from underrepresented groups, is not trivial when resources are minimal. Using gene expression to predict other measurements has been actively explored; however, systematic investigation of its predictive power in various measurements has not been well studied. We evaluate commonly used machine lear… Show more

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