A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...
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New statistical tool enhances prediction accuracy
An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method that could significantly improve how scientists make predictions, ...
This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...
Survival Outcomes of Patients With Tropomyosin Receptor Kinase Fusion-Positive Cancer Receiving Larotrectinib Versus Standard of Care: A Matching-Adjusted Indirect Comparison Using Real-World Data ...
Widespread machine learning methods behind ‘link prediction’ are performing very poorly, study shows
As you scroll through any social media feed, you are likely to be prompted to follow or friend another person, expanding your personal network and contributing to the growth of the app itself. The ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
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