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10.1186/1471-2105-15-130 http://scihub22266oqcxt.onion/10.1186/1471-2105-15-130 C4071222!4071222 !24885271     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24885271 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Bioinformatics 2014 ; 15 (ä): 130 Nephropedia Template TP {{tp|p=24885271 |t=2014. BicSPAM: flexible biclustering using sequential patterns |pdf=|usr=}}{{24885271 }} gab.com Text BicSPAM: flexible biclustering using sequential patterns JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=24885271 #FOAvip BACKGROUND: Biclustering is a critical task for biomedical applications. Order-preserving biclusters, submatrices where the values of rows induce the same linear ordering across columns, capture local regularities with constant, shifting, scaling and sequential assumptions. Additionally, biclustering approaches relying on pattern mining output deliver exhaustive solutions with an arbitrary number and positioning of biclusters. However, existing order-preserving approaches suffer from robustness, scalability and/or flexibility issues. Additionally, they are not able to discover biclusters with symmetries and parameterizable levels of noise. RESULTS: We propose new biclustering algorithms to perform flexible, exhaustive and noise-tolerant biclustering based on sequential patterns (BicSPAM). Strategies are proposed to allow for symmetries and to seize efficiency gains from item-indexable properties and/or from partitioning methods with conservative distance guarantees. Results show BicSPAM ability to capture symmetries, handle planted noise, and scale in terms of memory and time. BicSPAM also achieves the best match-scores for the recovery of hidden biclusters in synthetic datasets with varying noise distributions and levels of missing values. Finally, results on gene expression data lead to complete solutions, delivering new biclusters corresponding to putative modules with heightened biological relevance. CONCLUSIONS: BicSPAM provides an exhaustive way to discover flexible structures of order-preserving biclusters. To the best of our knowledge, BicSPAM is the first attempt to deal with order-preserving biclusters that allow for symmetries and that are robust to varying levels of noise. Twit Text FOAVip BicSPAM: flexible biclustering using sequential patterns ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=24885271 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24885271 #FOAvip English Wikipedia <ref>{{Cite pmid|24885271 }}</ref> BicSPAM: flexible biclustering using sequential patterns #MMPMID24885271 Henriques R ; Madeira SC BMC Bioinformatics 2014[May]; 15 (ä): 130 PMID24885271 show ga BACKGROUND: Biclustering is a critical task for biomedical applications. Order-preserving biclusters, submatrices where the values of rows induce the same linear ordering across columns, capture local regularities with constant, shifting, scaling and sequential assumptions. Additionally, biclustering approaches relying on pattern mining output deliver exhaustive solutions with an arbitrary number and positioning of biclusters. However, existing order-preserving approaches suffer from robustness, scalability and/or flexibility issues. Additionally, they are not able to discover biclusters with symmetries and parameterizable levels of noise. RESULTS: We propose new biclustering algorithms to perform flexible, exhaustive and noise-tolerant biclustering based on sequential patterns (BicSPAM). Strategies are proposed to allow for symmetries and to seize efficiency gains from item-indexable properties and/or from partitioning methods with conservative distance guarantees. Results show BicSPAM ability to capture symmetries, handle planted noise, and scale in terms of memory and time. BicSPAM also achieves the best match-scores for the recovery of hidden biclusters in synthetic datasets with varying noise distributions and levels of missing values. Finally, results on gene expression data lead to complete solutions, delivering new biclusters corresponding to putative modules with heightened biological relevance. CONCLUSIONS: BicSPAM provides an exhaustive way to discover flexible structures of order-preserving biclusters. To the best of our knowledge, BicSPAM is the first attempt to deal with order-preserving biclusters that allow for symmetries and that are robust to varying levels of noise. |*Cluster Analysis [MESH] |Algorithms [MESH] |Data Mining [MESH] |Gene Expression [MESH] |Gene Expression Profiling/*methods [MESH] |High-Throughput Nucleotide Sequencing/*methods [MESH]BicSPAM: flexible biclustering using sequential patterns (epmc).pdf DeepDyve Pubget Overpricing