Sentence examples for sequence classification from inspiring English sources

During gene sequence classification, the short reads of sequence data commonly generated by modern sequencers can be in either forward or reverse-complement order.

In sequence classification, each is associated with a label.

But research on how to obtain frequency and scale invariance for sequence classification is lacking.

We investigate semi-supervised approaches for learning hidden state conditional random fields for sequence classification.

Sequence classification was based on the RDP classifier and BLASTn results.

Many newer sequence classification tools claim to be faster and/or more accurate.

In this paper, we examine two types of sequence learning tasks: sequence classification and sequence recognition.

We can then restrict ourselves to a sequence classification problem in order to train a mixture model.

Also, POS tagged data are a relatively big test bed for machine learning methods dealing with sequence classification.

Recently, high-throughput methods for gene sequence classification have been developed by the bioinformatics and computational biology communities.

The sequence classification task entails assigning a sequence to one or more of a set of categories.