Combfit: A Normalization Method for Array CGH Data
نویسندگان
چکیده
منابع مشابه
A probe-density-based analysis method for array CGH data: simulation, normalization and centralization
MOTIVATION Genomic instability is one of the fundamental factors in tumorigenesis and tumor progression. Many studies have shown that copy-number abnormalities at the DNA level are important in the pathogenesis of cancer. Array comparative genomic hybridization (aCGH), developed based on expression microarray technology, can reveal the chromosomal aberrations in segmental copies at a high resol...
متن کاملNormalization of qPCR array data: a novel method based on procrustes superimposition
MicroRNAs (miRNAs) are short, endogenous non-coding RNAs that function as guide molecules to regulate transcription of their target messenger RNAs. Several methods including low-density qPCR arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. Reliable analysis of expression profiles demands removal of technical variati...
متن کاملCGH-Explorer: a program for analysis of array-CGH data
SUMMARY CGH-Explorer is a program for visualization and statistical analysis of microarray-based comparative genomic hybridization (array-CGH) data. The program has preprocessing facilities, tools for graphical exploration of individual arrays or groups of arrays, and tools for statistical identification of regions of amplification and deletion.
متن کاملnormalization of qpcr array data: a novel method based on procrustes superimposition
micrornas (mirnas) are short, endogenous non-coding rnas that function as guide molecules to regulate transcription of their target messenger rnas. several methods including low-density qpcr arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. reliable analysis of expression profiles demands removal of technical variati...
متن کاملQuantile smoothing of array CGH data
MOTIVATION Plots of array Comparative Genomic Hybridization (CGH) data often show special patterns: stretches of constant level (copy number) with sharp jumps between them. There can also be much noise. Classic smoothing algorithms do not work well, because they introduce too much rounding. To remedy this, we introduce a fast and effective smoothing algorithm based on penalized quantile regress...
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: IPSJ Digital Courier
سال: 2006
ISSN: 1349-7456
DOI: 10.2197/ipsjdc.2.716