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Volumn 1216, Issue 15, 2009, Pages 3107-3116

Comprehensive comparison of eight statistical modelling methods used in quantitative structure-retention relationship studies for liquid chromatographic retention times of peptides generated by protease digestion of the Escherichia coli proteome

Author keywords

E. coli proteome; Liquid chromatography; Peptide; Quantitative structure retention relationship; Statistical modelling method

Indexed keywords

AMINO ACID COMPOSITIONS; BACK-PROPAGATION NEURAL NETWORKS; CHARACTERIZATION METHODS; CHROMATOGRAPHIC RETENTIONS; COMPUTATIONALLY EFFICIENT; CRITICAL FACTORS; DESCRIPTOR; E. COLI PROTEOME; GAUSSIAN PROCESS; HYDROPHOBIC AMINO ACIDS; LINEAR CORRELATIONS; LOCAL ENVIRONMENTS; MASSIVE DATUM; MODELLING METHODS; MULTIPLE LINEAR REGRESSIONS; NON-LINEAR APPROACHES; NON-LINEAR MODELLING; PARAMETERIZED; PARTIAL LEAST SQUARES REGRESSIONS; PEPTIDE STRUCTURES; PERFORMANCE PROFILES; PREDICTIVE POWER; PROTEASE DIGESTIONS; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP; REGRESSION MODELS; RETENTION ABILITIES; RETENTION BEHAVIORS; RETENTION TIME; SEQUENCE STRUCTURES; STATISTICAL MODELLING METHOD; STRUCTURAL CHARACTERISTICS;

EID: 62249165045     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chroma.2009.01.086     Document Type: Article
Times cited : (60)

References (41)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.