✦ LIBER ✦

Development of an optimized multi-biomarker panel for the detection of lung cancer based on principal component analysis and artificial neural network modeling

✍ Scribed by José Miguel Flores-Fernández; Enrique J. Herrera-López; Francisco Sánchez-Llamas; Antonio Rojas-Calvillo; Paula Anel Cabrera-Galeana; Gisela Leal-Pacheco; María Guadalupe González-Palomar; R. Femat; Moisés Martínez-Velázquez

Book ID: 113607651
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 420 KB
Volume: 39
Category: Article
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2012.03.008

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Modeling the Correlation of Composition-

Modeling the Correlation of Composition-Processing-Property for TC11 Titanium Alloy Based on Principal Component Analysis and Artificial Neural Network

✍ Yu Sun, Weidong Zeng, Yongqing Zhao, Yitao Shao, Yigang Zhou 📂 Article 📅 2012 🏛 Springer US 🌐 English ⚖ 579 KB

A Biomedical System Based on Artificial

A Biomedical System Based on Artificial Neural Network and Principal Component Analysis for Diagnosis of the Heart Valve Diseases

✍ Harun Uğuz 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 283 KB

A prediction model for population occurr

A prediction model for population occurrence of paddy stem borer (Scirpophaga incertulas), based on Back Propagation Artificial Neural Network and Principal Components Analysis

✍ Lin-nan Yang; Lin Peng; Li-min Zhang; Li-lian Zhang; Shi-sheng Yang 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 425 KB