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In this paper, we propose a color decomposition method for hematoxylin-eosin (H&E) staining images using exclusive component analysis (XCA). We compare against two existing methods: conventional color deconvolution and color decomposition using non-negative matrix factorization method. By comparing the results, it shows that with the minimal effort from the user, the proposed method can not only...
Grouper is one of the most important aquaculture fish in the world. Due to high density of grouper farming, the aquaculture industry is threatened by iridovirus infections in recent years. In this study, we used next-generation sequencing technologies to analyze gene differential expression of groupers infected by two different types of iridoviruses, including Grouper Iridovirus of Taiwan (TGIV) of...
Microarray data analysis is a very popular topic of current studies in bioinformatics. Most of the existing methods are focused on clustering-related approaches. However, the relations of genes cannot be generated by clustering mining. Some studies explored association rule mining on microarray, but there is no concrete framework proposed on three-dimensional gene-sample-time microarray datasets yet...
Microarray technology is a big step in bioinformatics. Hidden information within the large amounts of data provides scientists with molecular functions or essential biological meanings to study and analyze. However, these data often contain a certain portion of entities that are missing. Several methods to estimate these missing values are developed, but most of them are with disadvantages. In this...
Repetitive substructures within a protein play an important role in understanding protein folding and stability, biological function, and genome evolution. About 25% of all proteins contain repeat structures for eukaryote species and most of them do not have the resolved structural information yet. Therefore, this study aimed to design a comprehensive system for identifying internal repeats either...
Identifying molecular biomarkers has become an essential topic of study in biological data mining, bioinformatics, and translational medicine today. Although the exact definition for biomarkers is still up for debate, it is commonly used to refer to the presence, variation, or modifications of biomolecular entities such as genes, proteins, and metabolites that may be used to assess different phenotypic...
In the post-genome era, disease-relevant gene finding and prioritization have focused on genome-wide association studies and molecular interaction networks, due to their power in characterizing the functions of genes/proteins in genomics and network biology contexts. In this paper, we describe a simple yet generic computational framework based on protein interaction networks to perform and evaluate...
Using X-ray crystallography to determine the 3D structure of a protein is a costly and time-consuming process. One of the major reasons is that the protein needs to be purified and crystallized first, and the failure rate of protein crystallization is quite high. Thus it is desired to use a computational method to predict protein crystallizability based on the primary structure information before...
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