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Additional file 3 of A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants
Jeu de données   Open Access

Additional file 3 of A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants

Jean-Philippe Villemin, Claudio Lorenzi, Marie-Sarah Cabrillac, Andrew Oldfield, William Ritchie et Reini F. Luco
figshare
13/04/2021
DOI: https://doi.org/10.6084/m9.figshare.14404450

Résumé

Biological Sciences not elsewhere classified Cancer FOS: Biological sciences FOS: Computer and information sciences FOS: Mathematics Genetics Information Systems not elsewhere classified Mathematical Sciences not elsewhere classified Medicine Plant Biology
Additional file 3: Table S2. Name, coordinates (Hg38) and PSI mean value and standard error for the 25 exons of the basal B-specific signature in Basal A and Basal B cancer cells and patients. The difference in splicing levels between basal B and basal A is shown as deltaPSI.

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