Improving gene function predictions using independent transcriptional components

Our understanding of the function of many transcripts is still incomplete, limiting the interpretability of transcriptomic data. Here the authors use consensus-independent component analysis, together with a guilt-by-association approach, to improve the prediction of gene function.

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Auteurs principaux: Carlos G. Urzúa-Traslaviña, Vincent C. Leeuwenburgh, Arkajyoti Bhattacharya, Stefan Loipfinger, Marcel A. T. M. van Vugt, Elisabeth G. E. de Vries, Rudolf S. N. Fehrmann
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/4a0123198db1432b8cd7b6fe248572ba
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