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Toplam kayıt 4, listelenen: 1-4
Shape investigations of structures formed by the self-assembly of aromatic amino acids using the density-based spatial clustering of applications with noise algorithm
(Scientific & Technical Research Council Turkey-TUBITAK, 2022)
Tyrosine, tryptophan, and phenylalanine are important aromatic amino acids for human health. If they are not properly metabolized, severe rare mental or metabolic diseases can emerge, many of which are not researched enough ...
Classification of breast cancer histopathological images using DenseNet and transfer learning
(Hindawi Publishing Corporation, 2022)
Breast cancer is one of the most common invading cancers in women. Analyzing breast cancer is nontrivial and may lead to disagreements among experts. Although deep learning methods achieved an excellent performance in ...
Deep sentiment analysis: a case study on stemmed Turkish Twitter data
(IEEE, 2021)
Sentiment analysis using stemmed Twitter data from various languages is an emerging research topic. In this paper, we address three data augmentation techniques namely Shift, Shuffle, and Hybrid to increase the size of the ...
Tyrosine, phenylalanine, and tryptophan undergo self-aggregation in similar and different manners
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Phenylalanine, tyrosine, and tryptophan are aromatic amino acids, and they are of high interest in both health science and biotechnology. These amino acids form organized structures, like fibrils and nanotubes. Although ...