Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets
نویسندگان
چکیده
منابع مشابه
NCBI GEO: archive for functional genomics data sets—update
The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download i...
متن کاملProbabilistic approach to detecting dependencies between data sets
We study data fusion under the assumption that data source-specific variation is irrelevant and only shared variation is relevant. Traditionally the shared variation has been sought by maximizing a dependency measure, such as correlation of linear projections in Canonical Correlation Analysis. In this traditional framework it is hard to tackle overfitting and model order selection, and thus we ...
متن کاملPredicting Cancer Prognosis Using Functional Genomics Data Sets
Elucidating the molecular basis of human cancers is an extremely complex and challenging task. A wide variety of computational tools and experimental techniques have been used to address different aspects of this characterization. One major hurdle faced by both clinicians and researchers has been to pinpoint the mechanistic basis underlying a wide range of prognostic outcomes for the same type ...
متن کاملFunctional Dependencies between Variables
Itisa standard practice to de ne the truth conditionsfora rst-orderform ula with a quanti erin term sofassignm entsto individualvariables. For exam ple,letM be a m odeland s a function (assignm ent)which assignsto variableselem entsin thedom ain ofM .Then a formula 9x (x)istruein M undersi thereisan assignm entswhich di ersfrom satm ostin thevalue itassignsto x,such that (x)istrue on M unders. ...
متن کاملAssociative clustering to find dependencies between expression profiles and transcription factor binding
A usual assumption in gene expression analysis is that sets of genes are partially co-expressed due to transcriptional coregulation. Genes regulated coherently should have common features in their promoter region where regulators, transcription factors, bind. We search for groups of yeast Saccharomyces cerevisiae genes having both coherent expression patterns and coherent transcription factor b...
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: IEEE/ACM Transactions on Computational Biology and Bioinformatics
سال: 2005
ISSN: 1545-5963
DOI: 10.1109/tcbb.2005.32