𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Pitfalls in the Use of DNA Microarray Data for Diagnostic and Prognostic Classification

✍ Scribed by Simon, R.; Radmacher, M. D.; Dobbin, K.; McShane, L. M.


Book ID
118036183
Publisher
Oxford University Press
Year
2003
Tongue
English
Weight
69 KB
Volume
95
Category
Article
ISSN
0027-8874

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Zipf's Law in Importance of Genes for Ca
✍ WENTIAN LI; YANING YANG πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 264 KB

Using a measure of how differentially expressed a gene is in two biochemically/phenotypically different conditions, we can rank all genes in a microarray dataset. We have shown that the falling-off of this measure (normalized maximum likelihood in a classification model such as logistic regression)

On the misuses of artificial neural netw
✍ Guido Schwarzer; Werner Vach; Martin Schumacher πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 210 KB πŸ‘ 3 views

The application of arti"cial neural networks (ANNs) for prognostic and diagnostic classi"cation in clinical medicine has become very popular. In particular, feed-forward neural networks have been used extensively, often accompanied by exaggerated statements of their potential. In this paper, the ess

Diagnostic and prognostic use of DNA ima
✍ BΓΆcking, Alfred ;Nguyen, Vu Quoc Huy πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 224 KB

In the fight against cervical malignancy and its precursors, several adjuvant diagnostic methods have been proposed to increase the accuracy of cytologic and histologic diagnoses. Because chromosomal aneuploidy has been accepted as an early key event in tumorigenesis caused by genetic instability, t