✦ LIBER ✦

Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies

✍ Scribed by Cramer, Richard D. ;Bunce, Jeffrey D. ;Patterson, David E. ;Frank, Ildiko E.

Book ID: 112185253
Publisher: John Wiley and Sons
Year: 1988
Tongue: English
Weight: 866 KB
Volume: 7
Category: Article
ISSN: 1611-020X
DOI: 10.1002/qsar.19880070105

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A multiple linear regression and partial

A multiple linear regression and partial least squares study of flavonoid compounds with anti-HIV activity

✍ C.N Alves; J.C Pinheiro; A.J Camargo; M.M.C Ferreira; R.A.F Romero; A.B.F da Sil 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 122 KB

Comparative prediction of the retention

Comparative prediction of the retention behaviour of small peptides in several reversed-phase high-performance liquid chromatography columns by using partial least squares and multiple linear regression

✍ V. Casal; P.J. Martin-Alvarez; T. Herraiz 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 550 KB

The retention behaviour of small standard peptides in reversed-phase high-performance liquid chromatography (RP-HPLC) is evaluated. Chromatographic retention of small peptides highly correlates with the summing of the hydrophobic contributions of their respective amino acid residues. Prediction of p