Source:

@ARTICLE{Tomlins2007,

author = {Scott A Tomlins and Rohit Mehra and Daniel R Rhodes and Xuhong Cao and Lei Wang and Saravana M Dhanasekaran and Shanker Kalyana-Sundaram and John T Wei and Mark A Rubin and Kenneth J Pienta and Rajal B Shah and Arul M Chinnaiyan},

title = {Integrative molecular concept modeling of prostate cancer progression.},

journal = {Nat Genet},

year = {2007},

volume = {39},

pages = {41--51},

number = {1},

month = {Jan},

doi = {10.1038/ng1935},

url = {http://dx.doi.org/10.1038/ng1935}

}

Original data: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6099

Description:

Despite efforts to profile prostate cancer (PCA), the genetic alterations and biological processes that correlate with the observed histological progression are unclear. Using laser-capture microdissection to isolate 101 cell populations, the authors have profiled prostate cancer progression from benign epithelium (EPI), including putative precursor lesions prostatic intraepithelial neoplasia (PIN), to metastatic disease (MET). Also, by profiling stromal (STROMA) and epithelial cell populations, they defined a stromal signature, which was used aid their analyses.

• Tomlins-V1: 27 EPI, 20 MET, 32 PCA, 13 PIN and 12 STROMA.
• Tomlins-V2: .27 EPI, 20 MET, 32 PCA and 13 PIN.

Parameters used in our filter:

• Tomlins-V1: l=4 and c=99
• Tomlins-V2: l=4 and c=88