Biomarker Identification for Cancer Disease Using Biclustering Approach: An Empirical Study.
Koyel MandalRosy SarmahDhruba Kumar BhattacharyyaPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2019)
Keyphrases
- gene expression data
- disease progression
- dna microarray
- outcome prediction
- ovarian cancer
- microarray data
- mass spectrometry
- gene selection
- cancer classification
- gene expression
- cancer diagnosis
- lung cancer
- gene expression profiles
- microarray
- prostate cancer
- cross sectional
- differentially expressed genes
- gene expression datasets
- breast cancer
- gene expression data sets
- early diagnosis
- cancer patients
- candidate genes
- blood vessels
- high dimensionality
- gene regulatory networks
- disease surveillance
- biomarker discovery
- patient groups
- mass spectrometry data
- proteomic data
- protein protein interaction networks
- gene expression data analysis
- disease diagnosis
- clinical trials
- related genes
- mass spectra
- copy number
- microarray data analysis
- gene expression analysis
- data sets
- gene sets
- colorectal cancer
- early detection
- feature selection