Bioinformatic identification of differentially expressed genes associated with prognosis of locally advanced lymph node-positive prostate cancer.
Anna V. KudryavtsevaElena N. LukyanovaSergey L. KharitonovKirill M. NyushkoAlexey A. KrasheninnikovElena A. PudovaZulfiya G. GuvatovaBoris Y. AlekseevMarina V. KiselevaAndrey D. KaprinAlexey A. DmitrievAnastasiya V. SnezhkinaGeorge S. KrasnovPublished in: J. Bioinform. Comput. Biol. (2019)
Keyphrases
- prostate cancer
- cancer patients
- differentially expressed genes
- lymph nodes
- mr images
- microarray data
- microarray
- gene expression
- computer aided
- automatic detection
- image guided
- breast cancer
- radiation therapy
- medical image analysis
- data sets
- clinical data
- lung cancer
- ct data
- automatic segmentation
- cancer diagnosis
- computer assisted
- logistic regression
- feature extraction