## Abstract With the rapid development of modern genotyping technology, it is becoming commonplace to genotype densely spaced genetic markers such as single nucleotide polymorphisms (SNPs) along the genome. This development has inspired a strong interest in using multiple markers located in the tar
A segmented principal component analysis—regression approach to QSAR study of peptides
✍ Scribed by Bahram Hemmateenejad; Ramin Miri; Maryam Elyasi
- Book ID
- 113759023
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 276 KB
- Volume
- 305
- Category
- Article
- ISSN
- 0022-5193
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This paper shows the advantages of using chemometric strategies in QSAR of NKA analogues containing D-Tryptophan and behaving as highly selective NK-2 receptor antagonists: a) detecting the sequence with optimal antagonist activity, and b) having a strategy for selecting a few most informative seque
Principal component analysis (PCA), also known as proper orthogonal decomposition or Karhunen}Loe`ve transform, is commonly used to reduce the dimensionality of a data set with a large number of interdependent variables. PCA is the optimal linear transformation with respect to minimizing the mean sq