This paper describes a machine learning system that discovered a “negative motif”, in transmembrane domain identification from amino acid seque.

This paper describes a machine learning system that discovered a "negative motif", in transmembrane domain identification from amino acid sequences, ...

This paper describes a machine learning system that discovered a “negative motif”, in transmembrane domain identification from amino acid sequences, ...

for a string in Σ*. We say that a pattern π is regular if each variable occurs at most once in 7. For example, xaybza is a regular pattern, but xx is not.

We introduce a decision tree whose node are labeled with regular patterns. As a hypothesis, the system produces such decision tree for a small number of ...

A learning algorithm for elementary formal systems and its experiments on identification of transmembrane domains. Published by Institute of Electrical and ...

With these decision trees over regular patterns, we have developed a transmembrane domain predictor that reads an amino acid sequence of a protein as an input.

Sep 25, 1991 · Abstract: This paper describes a machine learning system that discovered a "neg- ative motif", in tracnsniembrane domain identification from ...

A machine discovery from amino acid sequences by decision trees over regular patterns · Weave amino acid sequences for protein secondary structure prediction.

This study has been an attempt to look at the relationship between conflict management strategies adopted across the different groups of gender roles. There ...