Identification of phenotypes in patient microarrays
نویسندگان
چکیده
منابع مشابه
Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression
Motivation The discovery of relationships between gene expression measurements and phenotypic responses is hampered by both computational and statistical impediments. Conventional statistical methods are less than ideal because they either fail to select relevant genes, predict poorly, ignore the unknown interaction structure between genes, or are computationally intractable. Thus, the creation...
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Previous work has shown that two general processes contribute to hepatocellular cancer (HCC) prognosis: liver damage, monitored by indices such as blood bilirubin, prothrombin time (PT), and aspartate aminostransferase (AST); and tumor biology, monitored by indices such as tumor size, tumor number, presence of portal vein thrombosis (PVT) and blood alpha-fetoprotein (AFP) levels. These processe...
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ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2007
ISSN: 1752-0509
DOI: 10.1186/1752-0509-1-s1-p75