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UrduA research team created seven learning models using Support Vector Machine (SVM) algorithms to discern flowering-time-associated genes (FTAGs) from non-FTAGs, with the SVM-Kmer-PC-PseAAC model performing the best (F1 score = 0.934, accuracy = 0.939, and receiver operating characterstic = 0.943).
Tag: gene identification
Researchers identify female sex determining gene in mice
Researchers at the Francis Crick Institute and the Université Cote d’Azur, together with other labs in France and Switzerland, have identified a gene which is an early determining factor of ovary development in mice.