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Catalytically competent non-transforming H-RASG12P mutant provides insight into molecular switch function and GAP-independent GTPase activity of RAS
(Nature Publishing Group, 2019)
RAS mutants have been extensively studied as they are associated with development of cancer; however, H-RASG12P mutant has remained untouched since it does not lead to transformation in the cell. To the best of our knowledge, ...
An improved demand forecasting model using deep learning approach and proposed decision integration strategy for supply chain
(Wiley-Hindawi, 2019)
Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand ...
BreCaHAD: A dataset for breast cancer histopathological annotation and diagnosis
(BioMed Central Ltd., 2019)
Objectives: Histopathological tissue analysis by a pathologist determines the diagnosis and prognosis of most tumors, such as breast cancer. To estimate the aggressiveness of cancer, a pathologist evaluates the microscopic ...
Utilization of biased G protein-coupled receptor signaling towards development of safer and personalized therapeutics
(MDPI, 2019)
G protein-coupled receptors (GPCRs) are involved in a wide variety of physiological processes. Therefore, approximately 40% of currently prescribed drugs have targeted this receptor family. Discovery of beta-arrestin ...
Mood detection from physical and neurophysical data using deep learning models
(Wiley, 2019)
Nowadays, smart devices as a part of daily life collect data about their users with the help of sensors placed on them. Sensor data are usually physical data but mobile applications collect more than physical data like ...