PMC:4331676 / 27542-28439 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4331676","sourcedb":"PMC","sourceid":"4331676","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4331676","text":"In this section, four protein encoding schemes based on PSSM are introduced for a comparison. They are the average score of the residues with respect to the column of certain AA type called AvePscore-20 [21], the average score of the residues of certain AA type with respect to the column of certain AA type called AvePscore-400 [74], the percentile value of the PSSM scores along with the column of certain AA type according to percent thresholds called Pscore-100 [75], and auto-correlation coefficient (ACC) transformation that can transform the PSSMs of different lengths into fixed-length vectors by measuring the correlation between two scores separated by a distance of lg along the sequence [76], respectively. Table 2 lists the predictive results of the proposed protein representation and other four considered protein representations on the benchmark dataset using jackknife validation.","tracks":[{"project":"2_test","denotations":[{"id":"25708928-19385697-14842659","span":{"begin":330,"end":332},"obj":"19385697"},{"id":"25708928-24475169-14842660","span":{"begin":467,"end":469},"obj":"24475169"},{"id":"25708928-19706744-14842661","span":{"begin":700,"end":702},"obj":"19706744"}],"attributes":[{"subj":"25708928-19385697-14842659","pred":"source","obj":"2_test"},{"subj":"25708928-24475169-14842660","pred":"source","obj":"2_test"},{"subj":"25708928-19706744-14842661","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#dfec93","default":true}]}]}}