Prediction of liquid-liquid phase separating proteins using machine learning

HIGHLIGHTS

• who: Xiaoquan Chu from the Center for Quantitative Peking University, Beijing, China have published the research: Prediction of liquid-liquid phase separating proteins using machine learning, in the Journal: (JOURNAL)
• what: In this work, adopt the evolutionary word2vec and Machine Learning algorithm for PSPs predicting.
• how: For model training the authors selected the sequences from the LLPSDB as positive dataset (see Transparent methods). Due to the imbalance issue of the dataset the authors conducted undersampling to selected samples from N1 for model training by random sampling to ensure the scientificalness and rationality of . . .
  

   

  

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