Academic Journal

A Fuzzy Logic Approach to Analyzing Gene Expression Data

التفاصيل البيبلوغرافية
العنوان: A Fuzzy Logic Approach to Analyzing Gene Expression Data
المؤلفون: Peter J. Woolf, Yixin Wang, Peter J
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.biostat.wisc.edu/~kendzior/GEDA/LITERATURE/WOOLF/woolf1.pdf.
سنة النشر: 2000
المجموعة: CiteSeerX
الوصف: this report, the fuzzy logic algorithm should work equally well with other expression profiling techniques such as Sequential Analysis of Gene Expression (SAGE). SAGE has the advantage that it can detect completely unknown proteins, whereas GeneChip technologies require that at least the sequence of protein's mRNA be known. This ability to detect unknown proteins would be particularly well suited to the functional characterization that the fuzzy logic algorithm makes possible.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.25.9160; http://www.biostat.wisc.edu/~kendzior/GEDA/LITERATURE/WOOLF/woolf1.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.25.9160
http://www.biostat.wisc.edu/~kendzior/GEDA/LITERATURE/WOOLF/woolf1.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.C34DD151
قاعدة البيانات: BASE