Prediction of the number of activated genes in multiple independent Cd(+2)- and As(+3)-induced malignant transformations of human urothelial cells (UROtsa) - Garrett, Scott H; Somji, Seema; Sens, Donald A; Zhang, Ke K (PloS one, 2014)
Keywords: Algorithms; Arsenic - pharmacology; Cadmium - pharmacology; Cell Line; Cell Transformation, Neoplastic - genetics; Cluster Analysis; Computational Biology - methods; Computer Simulation; Epithelial Cells - drug effects; Epithelial Cells - metabolism; Humans; Models, Genetic; Oligonucleotide Array Sequence Analysis; Reverse Transcriptase Polymerase Chain Reaction; Transcriptome - drug effects; Transcriptome - genetics; Urothelium - cytology; Urothelium - drug effects; Urothelium - metabolism