1. Volume 41, Issue 2, Pages 284-291 (August 2004)
Molecular-based prediction of early recurrence in hepatocellular carcinoma 
Yukinori Kurokawa, Ryo Matoba, Ichiro Takemasa, Hiroaki Nagano, Keizo Dono, Shoji Nakamori, Koji Umeshita, Masato Sakon, Noriko Ueno, Shigeyuki Oba, Shin Ishii, Kikuya Kato, Morito Monden 
Journal of Hepatology 
Volume 41, Issue 2, Pages (August 2004)
DOI: /j.jhep

2. Fig. 1
Hierarchical clustering with 92 selected genes in the estimation group. The rows and columns represent genes and samples, respectively. The bottom scale indicates relative expression level in terms of a standard deviation from the mean.
Journal of Hepatology  , DOI: ( /j.jhep )

3. Fig. 2
Accuracy curve of recurrence prediction based on a weighted voting (WV) algorithm with a leave-one-out cross-validation approach in the estimation group. The accuracies in recurrence prediction (y axis) are plotted against the number of used top-ranked genes (x axis).
Journal of Hepatology  , DOI: ( /j.jhep )

4. Fig. 3
Probability of recurrence curves (A) and overall survival curves (B) in the validation group. The differences between the good signature group and the poor signature group were analyzed by the log-rank test.
Journal of Hepatology  , DOI: ( /j.jhep )