2014, ISBN: 9783838139104

[ED: Taschenbuch / Paperback], [PU: Südwestdeutscher Verlag für Hochschulschriften], Gene expression time series and multi-dose experiments have gained growing importance in the field of … Mehr…

[ED: Taschenbuch / Paperback], [PU: Südwestdeutscher Verlag für Hochschulschriften], Gene expression time series and multi-dose experiments have gained growing importance in the field of biostatistics throughout the beginning of the 21st century. In general, gene expression time series challenge the bioinformatician with few time points, a small number of replicates per time point and a huge number of genes in parallel consideration. The analysis of the time course data on a level of a priori defined gene sets is rather neglected in the literature. Although, this is common practice in case of simpler experimental designs (e.g. 2 groups). Three algorithms are introduced to estimate a gene set activation profile, which denoted significant enrichment with up (+), down (-) or no (o) differential expression for each considered gene set per time point (or dose) in the experiment. A subsequent smoothing step improves the reliability of the resulting FDR adjusted profiles. Four freely available time series experiments are used for the application on GO, KEGG, BioCarta, Reactome and BioCyc gene sets. Furthermore, two large and complex simulation studies were conducted to evaluate the smoothing methods and compare the activation profile algorithms., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 15mm, 300, [GW: 414g], Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung, Internationaler Versand<

2014, ISBN: 9783838139104

[ED: Taschenbuch / Paperback], [PU: Südwestdeutscher Verlag für Hochschulschriften], Gene expression time series and multi-dose experiments have gained growing importance in the field of … Mehr…

[ED: Taschenbuch / Paperback], [PU: Südwestdeutscher Verlag für Hochschulschriften], Gene expression time series and multi-dose experiments have gained growing importance in the field of biostatistics throughout the beginning of the 21st century. In general, gene expression time series challenge the bioinformatician with few time points, a small number of replicates per time point and a huge number of genes in parallel consideration. The analysis of the time course data on a level of a priori defined gene sets is rather neglected in the literature. Although, this is common practice in case of simpler experimental designs (e.g. 2 groups). Three algorithms are introduced to estimate a gene set activation profile, which denoted significant enrichment with up (+), down (-) or no (o) differential expression for each considered gene set per time point (or dose) in the experiment. A subsequent smoothing step improves the reliability of the resulting FDR adjusted profiles. Four freely available time series experiments are used for the application on GO, KEGG, BioCarta, Reactome and BioCyc gene sets. Furthermore, two large and complex simulation studies were conducted to evaluate the smoothing methods and compare the activation profile algorithms., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 15mm, 300, [GW: 414g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, International shipping<

2014, ISBN: 3838139100

[EAN: 9783838139104], Neubuch, [PU: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Nov 2014], This item is printed on demand - Print on Demand Neuware - Gene expression time ser… Mehr…

[EAN: 9783838139104], Neubuch, [PU: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Nov 2014], This item is printed on demand - Print on Demand Neuware - Gene expression time series and multi-dose experiments have gained growing importance in the field of biostatistics throughout the beginning of the 21st century. In general, gene expression time series challenge the bioinformatician with few time points, a small number of replicates per time point and a huge number of genes in parallel consideration. The analysis of the time course data on a level of a priori defined gene sets is rather neglected in the literature. Although, this is common practice in case of simpler experimental designs (e.g. 2 groups). Three algorithms are introduced to estimate a gene set activation profile, which denoted significant enrichment with up (+), down (-) or no (o) differential expression for each considered gene set per time point (or dose) in the experiment. A subsequent smoothing step improves the reliability of the resulting FDR adjusted profiles. Four freely available time series experiments are used for the application on GO, KEGG, BioCarta, Reactome and BioCyc gene sets. Furthermore, two large and complex simulation studies were conducted to evaluate the smoothing methods and compare the activation profile algorithms. 300 pp. Englisch<

ISBN: 3838139100

Gebundene Ausgabe

Temporal Activation Profiles of Gene Sets ab 75.9 € als Taschenbuch: for the Analysis of Gene Expression Time Series. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben, … Mehr…

Temporal Activation Profiles of Gene Sets ab 75.9 € als Taschenbuch: for the Analysis of Gene Expression Time Series. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben, Medien > Bücher, Südwestdeutscher Verlag für Hochschulschriften AG Co. KG<

2014, ISBN: 9783838139104

Südwestdeutscher Verlag für Hochschulschriften, Paperback, 300 Seiten, Publiziert: 2014-10-27T00:00:01Z, Produktgruppe: Book, 0.44 kg, Science, Nature & Math, Subjects, Books, Südwestdeut… Mehr…

Südwestdeutscher Verlag für Hochschulschriften, Paperback, 300 Seiten, Publiziert: 2014-10-27T00:00:01Z, Produktgruppe: Book, 0.44 kg, Science, Nature & Math, Subjects, Books, Südwestdeutscher Verlag für Hochschulschriften, 2014<