Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-9-13
pubmed:abstractText
In this paper we present a method for the statistical assessment of cancer predictors which make use of gene expression profiles. The methodology is applied to a new data set of microarray gene expression data collected in Casa Sollievo della Sofferenza Hospital, Foggia--Italy. The data set is made up of normal (22) and tumor (25) specimens extracted from 25 patients affected by colon cancer. We propose to give answers to some questions which are relevant for the automatic diagnosis of cancer such as: Is the size of the available data set sufficient to build accurate classifiers? What is the statistical significance of the associated error rates? In what ways can accuracy be considered dependant on the adopted classification scheme? How many genes are correlated with the pathology and how many are sufficient for an accurate colon cancer classification? The method we propose answers these questions whilst avoiding the potential pitfalls hidden in the analysis and interpretation of microarray data.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-10359783, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-10366450, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-10521349, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-10564580, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-11136719, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-11381113, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-11691783, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-11742071, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-11747097, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-11857442, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-11983868, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-12011421, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-12509396, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-12692079, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-12898601, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-14579113, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-14604446, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-14719106, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-14724568, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-14732865, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-15073847, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-15138999, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-15148359, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-15240568, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-15805274, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16091761, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16103061, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16118116, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16195750, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16314512, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16351746, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16428479, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16449643, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-16585209, http://linkedlifedata.com/resource/pubmed/commentcorrection/16919171-9771714
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1471-2105
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
387
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
On the statistical assessment of classifiers using DNA microarray data.
pubmed:affiliation
lstituto di Studi sui Sistemi Intelligenti per I'Automazione-CNR, Via Amendola 122/D-l, 70126 Bari, Italy. ancona@ba.issia.cnr.it
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't