The classification system consists of two main components, namely, a frequency analyzer and a neural network classifier. Before using the classifier, the user should first prepare a set of training texts and then train the classifier.关键词:...
Notable clustering of transcription-factor-binding motifs in human pericentric regions and its biological significance Since oligonucleotide composition in the genome sequence varies significantly among species even among those possessing the same genome G+C%, the compositi... Y Iwasaki,K Wada,Y Wada,...
A Katoh,Y Fukui - 《Transactions of Japanese Society for Medical & Biological Engineering》 被引量: 0发表: 2002年 Feature Extraction of Facial Images Using Self-organizing Maps Much information is received from facial expressions during communication. Therefore, during the interface between humans and...
Systematic and large-scale microscopy-based cell assays are becoming an increasingly important tool for biological discovery1,2, playing a key role in drug screening3,4, drug profiling5,6 and for mapping the subcellular localization of the proteome7,8. In particular, large-scale datasets based on...
Classification of self-organization and emergence in chemical and biological systems. Aust. J. Chem. 59, 849-853.Halley JD, Winkler DA (2006) Classification of self-organization and emergence in chemical and biological systems. Aust J Chem 59:849–853...
(label free) human kidney tissue sections, which can be considered phase-only samples. Besides the success of GedankenNet’s generalization to experimental data of biological samples, the results shown in Fig.5bdemonstrate GedankenNet’s zero-shot generalization to another physical class of objects ...
Unsupervised or self-organising learning schemes represent a completely different philosophy of training, which in a way provides a more plausible model of the biological learning mechanism. The idea of these schemes is to discover significant features in the analysed data and to do the discovery wit...
Comparison to other classification methods using the leave-one-out cross-validation method was employed to evaluate the accuracy and generality of the classification. Finally, two sets of candidate genes from genome-wide RNA interference screens are used to test the generality and potential application...
biological systems. For example, BioHNs incorporating DDIs, DTIs, protein–protein interactions (PPIs) and protein–disease associations can naturally simulate the 'multi-drug, multi-target, multi-disease’ biological processes within the human body17. In the context of biomedical networks applications...
Fluorescence microscope is an indispensable tool for biomedical research, which can be used to obtain auxiliary information with high spatial resolution, such as intracellular biological processes or histopathological features1,2. At present, the most common approach to obtain large-scale high-resolution ...