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201por Kim, Ji HoonEnlace del recurso
Publicado 2023
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203“…However, despite the proven success of deep learning in integrating multi-omics data and its better performance over classical computational methods, there has been no systematic study of its application to single-cell multi-omics data integration. To fill this gap, we conducted a literature review to explore the use of multimodal deep learning techniques in single-cell multi-omics data integration, taking into account recent studies from multiple perspectives. …”
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204por Zagare, Alise, Preciat, German, Nickels, Sarah. L., Luo, Xi, Monzel, Anna S., Gomez-Giro, Gemma, Robertson, Graham, Jaeger, Christian, Sharif, Jafar, Koseki, Haruhiko, Diederich, Nico J., Glaab, Enrico, Fleming, Ronan M. T., Schwamborn, Jens C.“…In this study, we combine systems biology and data integration approaches to identify differences in transcriptomic and metabolic signatures between IPD patient and healthy individual-derived midbrain neural precursor cells. …”
Publicado 2023
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209por Mlecnik, Bernhard, Sanchez-Cabo, Fatima, Charoentong, Pornpimol, Bindea, Gabriela, Pagès, Franck, Berger, Anne, Galon, Jerome, Trajanoski, Zlatko“…To address this question we have directed major efforts towards data integration and developed and installed a database for cancer immunology with more than 1700 patients and associated clinical data and biomolecular data. …”
Publicado 2010
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210“…The single data set will be compared with three data integration strategies and also weighted data integration strategies based on kernel method. …”
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212“…The proposed joint matrix completion and filtering model can be adapted as a general model for biological data integration, targeting data noises and missing values within and across experiments.…”
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213“…We demonstrate that our data integration strategy can improve classification performance compared to using a single data source only. …”
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217por Deelen, Patrick, Bonder, Marc Jan, van der Velde, K Joeri, Westra, Harm-Jan, Winder, Erwin, Hendriksen, Dennis, Franke, Lude, Swertz, Morris AEnlace del recurso
Publicado 2014
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220por Verbeke, Lieven P. C., Van den Eynden, Jimmy, Fierro, Ana Carolina, Demeester, Piet, Fostier, Jan, Marchal, Kathleen“…Often the score of a pathway could not be motivated by a single mutation, copy number or methylation alteration, but rather by a combination of genetic and epi-genetic disturbances, stressing the need for a network-based data integration approach. The analysis of ovarian tumors, as a function of survival-based subtypes, demonstrated the method’s ability to correctly identify key pathways, irrespective of tumor subtype. …”
Publicado 2015
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