Matches in SemOpenAlex for { <https://semopenalex.org/work/W30846217> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W30846217 endingPage "364" @default.
- W30846217 startingPage "346" @default.
- W30846217 abstract "Clustering algorithms are often limited by an assumption that each data point belongs to a single class, and furthermore that all features of a data point are relevant to class determination. Such assumptions are inappropriate in applications such as gene clustering, where, given expression profile data, genes may exhibit similar behaviors only under some, but not all conditions, and genes may participate in more than one functional process and hence belong to multiple groups. Identifying genes that have similar expression patterns in a common subset of conditions is a central problem in gene expression microarray analysis. To overcome the limitations of standard clustering methods for this purpose, Bi-clustering has often been proposed as an alternative approach, where one seeks groups of observations that exhibit similar patterns over a subset of the features. In this paper, we propose a new bi-clustering algorithm for identifying linear-coherent bi-clusters in gene expression data, strictly generalizing the type of bi-cluster structure considered by other methods. Our algorithm is based on recent sparse learning techniques that have gained significant attention in the machine learning research community. In this work, we propose a novel sparse learning based model, SLLB, for solving the linear coherent bi-clustering problem. Experiments on both synthetic data and real gene expression data demonstrate the model is significantly more effective than current bi-clustering algorithms for these problems. The parameter selection problem and the model’s usefulness in other machine learning clustering applications are also discussed. The on-line appendix for this paper can be found at http://www.cs.ualberta.ca/~ys3/SLLB ." @default.
- W30846217 created "2016-06-24" @default.
- W30846217 creator A5010575626 @default.
- W30846217 creator A5038911681 @default.
- W30846217 creator A5076798491 @default.
- W30846217 creator A5088947252 @default.
- W30846217 creator A5089344475 @default.
- W30846217 date "2012-01-01" @default.
- W30846217 modified "2023-10-05" @default.
- W30846217 title "Sparse Learning Based Linear Coherent Bi-clustering" @default.
- W30846217 cites W1526090859 @default.
- W30846217 cites W1578104218 @default.
- W30846217 cites W1590422503 @default.
- W30846217 cites W1861920366 @default.
- W30846217 cites W1919182074 @default.
- W30846217 cites W2008459449 @default.
- W30846217 cites W2036328877 @default.
- W30846217 cites W2103017472 @default.
- W30846217 cites W2105883975 @default.
- W30846217 cites W2106945333 @default.
- W30846217 cites W2108078368 @default.
- W30846217 cites W2130095365 @default.
- W30846217 cites W2135000328 @default.
- W30846217 cites W2135187880 @default.
- W30846217 cites W2137917513 @default.
- W30846217 cites W2143065952 @default.
- W30846217 cites W2143274936 @default.
- W30846217 cites W2144544802 @default.
- W30846217 cites W2150926065 @default.
- W30846217 cites W2169541951 @default.
- W30846217 cites W4292478130 @default.
- W30846217 doi "https://doi.org/10.1007/978-3-642-33122-0_28" @default.
- W30846217 hasPublicationYear "2012" @default.
- W30846217 type Work @default.
- W30846217 sameAs 30846217 @default.
- W30846217 citedByCount "3" @default.
- W30846217 countsByYear W308462172012 @default.
- W30846217 countsByYear W308462172013 @default.
- W30846217 countsByYear W308462172019 @default.
- W30846217 crossrefType "book-chapter" @default.
- W30846217 hasAuthorship W30846217A5010575626 @default.
- W30846217 hasAuthorship W30846217A5038911681 @default.
- W30846217 hasAuthorship W30846217A5076798491 @default.
- W30846217 hasAuthorship W30846217A5088947252 @default.
- W30846217 hasAuthorship W30846217A5089344475 @default.
- W30846217 hasBestOaLocation W308462172 @default.
- W30846217 hasConcept C119857082 @default.
- W30846217 hasConcept C124101348 @default.
- W30846217 hasConcept C153180895 @default.
- W30846217 hasConcept C154945302 @default.
- W30846217 hasConcept C17212007 @default.
- W30846217 hasConcept C184509293 @default.
- W30846217 hasConcept C2777212361 @default.
- W30846217 hasConcept C33704608 @default.
- W30846217 hasConcept C41008148 @default.
- W30846217 hasConcept C73555534 @default.
- W30846217 hasConcept C94641424 @default.
- W30846217 hasConceptScore W30846217C119857082 @default.
- W30846217 hasConceptScore W30846217C124101348 @default.
- W30846217 hasConceptScore W30846217C153180895 @default.
- W30846217 hasConceptScore W30846217C154945302 @default.
- W30846217 hasConceptScore W30846217C17212007 @default.
- W30846217 hasConceptScore W30846217C184509293 @default.
- W30846217 hasConceptScore W30846217C2777212361 @default.
- W30846217 hasConceptScore W30846217C33704608 @default.
- W30846217 hasConceptScore W30846217C41008148 @default.
- W30846217 hasConceptScore W30846217C73555534 @default.
- W30846217 hasConceptScore W30846217C94641424 @default.
- W30846217 hasLocation W308462171 @default.
- W30846217 hasLocation W308462172 @default.
- W30846217 hasOpenAccess W30846217 @default.
- W30846217 hasPrimaryLocation W308462171 @default.
- W30846217 hasRelatedWork W1538188876 @default.
- W30846217 hasRelatedWork W2036275527 @default.
- W30846217 hasRelatedWork W2047852079 @default.
- W30846217 hasRelatedWork W2163563073 @default.
- W30846217 hasRelatedWork W2385065959 @default.
- W30846217 hasRelatedWork W2626264717 @default.
- W30846217 hasRelatedWork W2884662492 @default.
- W30846217 hasRelatedWork W2970954390 @default.
- W30846217 hasRelatedWork W3168768270 @default.
- W30846217 hasRelatedWork W1491908038 @default.
- W30846217 isParatext "false" @default.
- W30846217 isRetracted "false" @default.
- W30846217 magId "30846217" @default.
- W30846217 workType "book-chapter" @default.