Classification of Colorectal Cancer Based on Molecular Features
نویسندگان
چکیده
منابع مشابه
Classification of colorectal cancer based on correlation of clinical, morphological and molecular features.
Over the last 20 years it has become clear that colorectal cancer (CRC) evolves through multiple pathways. These pathways may be defined on the basis of two molecular features: (i) DNA microsatellite instability (MSI) status stratified as MSI-high (MSI-H), MSI-low (MSI-L) and MS stable (MSS), and (ii) CpG island methylator phenotype (CIMP) stratified as CIMP-high, CIMP-low and CIMP-negative (CI...
متن کاملMolecular Classification of Colorectal Cancer
...................................................................................................................... 9 REVIEW OF THE LITERATURE .............................................................................. 11 1. GENES AND CANCER...........................................................................................................................11 1.1 Oncogenes..............
متن کاملRole of Molecular Biomarkers in Colorectal Cancer
Colorectal cancer (CRC) is amongst the most widespread cancers and is a most common cause of cancer associated mortality universally. Since previous decades, it has been cleared that CRC develops owing to the buildup of a series of genetic and epigenetic changes in the normal colonic epithelium. Regardless of the current development in surgery and therapies, overall survival of end stage CRC pa...
متن کاملClassification of encrypted traffic for applications based on statistical features
Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...
متن کاملHyperspectral Images Classification by Combination of Spatial Features Based on Local Surface Fitting and Spectral Features
Hyperspectral sensors are important tools in monitoring the phenomena of the Earth due to the acquisition of a large number of spectral bands. Hyperspectral image classification is one of the most important fields of hyperspectral data processing, and so far there have been many attempts to increase its accuracy. Spatial features are important due to their ability to increase classification acc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Gene Technology
سال: 2015
ISSN: 2329-6682
DOI: 10.4172/2329-6682.1000e115