𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Automatic Data Reduction and Pattern Recognition Methods for Analysis of 1H Nuclear Magnetic Resonance Spectra of Human Urine from Normal and Pathological States

✍ Scribed by E. Holmes; P.J.D. Foxall; J.K. Nicholson; G.H. Neild; S.M. Brown; C.R. Beddell; B.C. Sweatman; E. Rahr; J.C. Lindon; M. Spraul; P. Neidig

Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
856 KB
Volume
220
Category
Article
ISSN
0003-2697

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Genetic programming for classification a
Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies
✍ Helen F. Gray; Ross J. Maxwell; Irene Martínez-Pérez; Carles Arús; Sebastián Cer 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 150 KB 👁 1 views

Genetic programming (GP) is used to classify tumours based on 1 H nuclear magnetic resonance (NMR) spectra of biopsy extracts. Analysis of such data would ideally give not only a classification result but also indicate which parts of the spectra are driving the classification (i.e. feature selection