From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis
نویسندگان
چکیده
منابع مشابه
Multi-label Linear Discriminant Analysis
Multi-label problems arise frequently in image and video annotations, and many other related applications such as multi-topic text categorization, music classification, etc. Like other computer vision tasks, multi-label image and video annotations also suffer from the difficulty of high dimensionality because images often have a large number of features. Linear discriminant analysis (LDA) is a ...
متن کاملDirect Multi-label Linear Discriminant Analysis
Multi-label problems arise in different domains such as digital media analysis and description, text categorization, multi-topic web page categorization, image and video annotation etc. Such a situation arises when the data are associated with multiple labels simultaneously. Similar to single label problems, multi label problems also suffer from high dimensionality as multi label data often hap...
متن کاملFrom protein sequence to function.
As genome sequences and protein structures are deciphered, we wish to predict their corresponding functions. Many functions cannot be told from from the sequence, however, although there has been progress in this quest for an impossible Grail. Furthermore, a structure and its corresponding sequence become most interesting when one knows the function. Inductive reasoning, based on the integratio...
متن کاملPrediction of Protein Function by Discriminant Analysis*
Approximately 53% of the protein sequences in the National Biomedical Research Foundation (NBRF) database can be allocated to one of 26 functional classes, each of which can be characterized by the joint occurrence of four or fewer attributes. The attributes reflect collective physicochemical properties of the sequences in a class, ranging from simple characteristics of composition, such as ave...
متن کاملProtein Family Classification with Discriminant Function Analysis
Rapid progress in multiple genome projects continues to feed databases in the world a large volume of sequence data. In this 'post-genomic' era, more efficient and reliable sequence annotation, especially functional annotation of protein sequences, is crucial. Although experimental confirmation is ultimately required, computational annotation of protein sequences has been routinely done, and it...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Computational Biology and Bioinformatics
سال: 2017
ISSN: 1545-5963,1557-9964,2374-0043
DOI: 10.1109/tcbb.2016.2591529