Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Datta Susmita"'
Publikováno v:
In Journal of Manufacturing Processes 30 June 2024 120:595-615
Autor:
Datta Somnath, Datta Susmita
Publikováno v:
BMC Bioinformatics, Vol 7, Iss Suppl 4, p S17 (2006)
Abstract Background Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped together according to their expression profiles using one of numerous
Externí odkaz:
https://doaj.org/article/5703d008149c468ba776e06afa611532
Publikováno v:
BMC Medical Genomics, Vol 4, Iss 1, p 44 (2011)
Abstract Background Changes in microRNA (miRNA) expression patterns have been extensively characterized in several cancers, including human colon cancer. However, how these miRNAs and their putative mRNA targets contribute to the etiology of cancer i
Externí odkaz:
https://doaj.org/article/5bb15aba6ea440a4ad5c5fda963ed9d7
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 427 (2010)
Abstract Background Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal in any given classification application. In addition, for most
Externí odkaz:
https://doaj.org/article/283dea6687c54c84b31eb9dc44767ffc
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 95 (2010)
Abstract Background It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of genes are dependent on each other. Experimental techniques to detec
Externí odkaz:
https://doaj.org/article/13d611f3f793482ba3b771a5cfc802f4
Autor:
Pimm Jonathan, Quested Digby, Thirumalai Srinivasa, Lawrence Jacob, Choudhury Khalid, Puri Vinay, McQuillin Andrew, Datta Susmita R, Bass Nicholas J, Curtis David, Gurling Hugh MD
Publikováno v:
Behavioral and Brain Functions, Vol 5, Iss 1, p 28 (2009)
Abstract Background Previous linkage and association studies have implicated the D-amino acid oxidase activator gene (DAOA)/G30 locus or neighbouring region of chromosome 13q33.2 in the genetic susceptibility to both schizophrenia and bipolar disorde
Externí odkaz:
https://doaj.org/article/f72e6a4f54d343aa91618c9c158460a6
Publikováno v:
BMC Bioinformatics, Vol 10, Iss 1, p 62 (2009)
Abstract Background Researchers in the field of bioinformatics often face a challenge of combining several ordered lists in a proper and efficient manner. Rank aggregation techniques offer a general and flexible framework that allows one to objective
Externí odkaz:
https://doaj.org/article/660e886f0e6842e880492245ce4ffc5a
Autor:
Kirwin Simon, Kandasami Gomathinayagam, Punukollu Bhaskar, Morgan Jenny, Moorey Helen, Lamb Graham, Bass Nicholas, Pimm Jonathan, Thirumalai Srinivasa, Lawrence Jacob, Choudhury Khalid, Puri Vinay, McQuillin Andrew, Datta Susmita R, Sule Akeem, Quested Digby, Curtis David, Gurling Hugh MD
Publikováno v:
Behavioral and Brain Functions, Vol 3, Iss 1, p 50 (2007)
Abstract Background Previous linkage and association studies may have implicated the Dystrobrevin-binding protein 1 (DTNBP1) gene locus or a gene in linkage disequilibrium with DTNBP1 on chromosome 6p22.3 in genetic susceptibility to schizophrenia. M
Externí odkaz:
https://doaj.org/article/ad0484af40af4e70b9dff38d9c6cd6f9
Autor:
Datta Somnath, Datta Susmita
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 397 (2006)
Abstract Background A cluster analysis is the most commonly performed procedure (often regarded as a first step) on a set of gene expression profiles. In most cases, a post hoc analysis is done to see if the genes in the same clusters can be function
Externí odkaz:
https://doaj.org/article/6c96597bf35e460fb85b4e86bd7d548e
Autor:
Wu, Quran, O'Malley, A. James, Liyanage, Janaka S. S., Datta, Susmita, Gharaibeh, Raad Z., Jobin, Christian, Karagas, Margaret R., Coker, Modupe O., Hoen, Anne G., Christensen, Brock C., Madan, Juliette C., Li, Zhigang
The human microbiome can contribute to pathogeneses of many complex diseases by mediating disease-leading causal pathways. However, standard mediation analysis methods are not adequate to analyze the microbiome as a mediator due to the excessive numb
Externí odkaz:
http://arxiv.org/abs/1906.09175