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1901por Tsagiopoulou, Maria, Pechlivanis, Nikolaos, Maniou, Maria Christina, Psomopoulos, Fotis“…However, there is currently no widespread procedure for meaningful multi-omics data integration. Here, we present a robust framework, called InterTADs, for integrating multi-omics data derived from the same sample, and considering the chromatin configuration of the genome, i.e. the topologically associating domains (TADs). …”
Publicado 2022
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1902por Tanoli, Ziaurrehman, Aldahdooh, Jehad, Alam, Farhan, Wang, Yinyin, Seemab, Umair, Fratelli, Maddalena, Pavlis, Petr, Hajduch, Marian, Bietrix, Florence, Gribbon, Philip, Zaliani, Andrea, Hall, Matthew D, Shen, Min, Brimacombe, Kyle, Kulesskiy, Evgeny, Saarela, Jani, Wennerberg, Krister, Vähä-Koskela, Markus, Tang, Jing“…Distinguished from existing efforts that are often lacking support from data integration tools, MICHA can automatically extract publicly available information to facilitate the assay annotation including: 1) compounds, 2) samples, 3) reagents and 4) data processing methods. …”
Publicado 2021
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1903por Karimi, Mohammad Reza, Karimi, Amir Hossein, Abolmaali, Shamsozoha, Sadeghi, Mehdi, Schmitz, Ulf“…Proteogenomics is a remarkable example of how the integration of multiple levels of information can reduce our blind spots and increase the accuracy and reliability of our interpretations and network-based data analysis is a major approach for data interpretation and a robust scaffold for data integration and modeling. Overall, this review aims to increase cross-field awareness of the approaches and challenges regarding the omics-based study of cancer and to facilitate the necessary shift toward holistic approaches.…”
Publicado 2021
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1904por Sammut, Stephen-John, Crispin-Ortuzar, Mireia, Chin, Suet-Feung, Provenzano, Elena, Bardwell, Helen A., Ma, Wenxin, Cope, Wei, Dariush, Ali, Dawson, Sarah-Jane, Abraham, Jean E., Dunn, Janet, Hiller, Louise, Thomas, Jeremy, Cameron, David A., Bartlett, John M. S., Hayward, Larry, Pharoah, Paul D., Markowetz, Florian, Rueda, Oscar M., Earl, Helena M., Caldas, Carlos“…In conclusion, response to therapy is determined by the baseline characteristics of the totality of the tumour ecosystem captured through data integration and machine learning. This approach could be used to develop predictors for other cancers.…”
Publicado 2021
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1905por Noble, Alexandra J., Purcell, Rachel V., Adams, Alex T., Lam, Ying K., Ring, Paulina M., Anderson, Jessica R., Osborne, Amy J.“…Here we review current progress in integrated genomic data analysis, and discuss cases where data integration would lead to significant advances in our ability to predict how the environment may impact on our health. …”
Publicado 2022
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1906por Zafeiropoulos, Haris, Paragkamian, Savvas, Ninidakis, Stelios, Pavlopoulos, Georgios A., Jensen, Lars Juhl, Pafilis, Evangelos“…PREGO combines text mining and data integration techniques to mine such what-where-who associations from data and metadata scattered in the scientific literature and in public omics repositories. …”
Publicado 2022
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1907“…The keywords of literature retrieval include Alzheimer's disease, bioinformatics, image genetics, genome-wide association research, molecular interaction network, multi-omics data integration, and so on. CONCLUSION: This study comprehensively introduces machine learning-based processing techniques for AD neuroimaging data and then shows the progress of computational analysis methods in omics data, such as the genome, proteome, and so on. …”
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1908“…Furthermore, the multidimensional data integration showed that the amino acids A, D, E, G, L, P, R, S, T and V might be the first recruited into the last universal common ancestry (LUCA) proteins. …”
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1909por Rangel-Huerta, Oscar Daniel, de la Torre-Aguilar, María José, Mesa, María Dolores, Flores-Rojas, Katherine, Pérez-Navero, Juan Luis, Baena-Gómez, María Auxiliadora, Gil, Angel, Gil-Campos, Mercedes“…In addition, we explored the interrelation between the lipidomics profile in plasma, the targeted fatty acid profile in plasma and erythrocytes, several biomarkers of inflammation, and antioxidant defense using an innovative data integration analysis based on Latent Components. We observed that the fish oil-based lipid emulsion had an impact in several lipid subclasses, mainly glycerophosphocholines (PC), glycerophosphoserines (PS), glycerophosphoethanolamines (PE), oxidized PE (O-PE), 1-alkyl,2-acyl PS, lysophosphatidylethanolamines (LPE), oxidized PS (O-PS) and dicarboxylic acids. …”
Publicado 2022
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1910por Hoch, Matti, Smita, Suchi, Cesnulevicius, Konstantin, Lescheid, David, Schultz, Myron, Wolkenhauer, Olaf, Gupta, Shailendra“…Our work improves the usability of disease maps and increases their functionality by facilitating multi-omics data integration and exploration.…”
Publicado 2022
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1911“…In addition, unlike KB federated methods that are based on triple instances, we use the behind idea of mediated schema to ensure data integration and scalability. Results from evaluations that consider word, triple, and question level information, show that the proposed approach performs well against a few benchmarks. …”
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1912“…This model contains three main innovations: firstly, in the evaluation of decision makers’ social network relations, the trust–distrust value is introduced as a new carrier, and a weighted directed network and data integration operator are constructed based on the evaluation between decision makers; secondly, an extended Girvan-Newman (GN) algorithm is constructed to cluster the decision makers from this weighted network; thirdly, the interval-valued intuitionistic fuzzy number (IVIFN) is used to evaluate the alternatives, studying the IVIFN’s geometric significance by placing in a rectangular coordinate system. …”
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1913“…Whereas policy reports promote a vision of seamless data integration and standardization, we highlight how the envisioned strategy imposes significant changes on the organization of health care systems. …”
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1914eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction“…To our knowledge, this is a novel finding delineating a promising method to explore data integration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08690-7.…”
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1915por Lyne, Rachel, Bazaga, Adrián, Butano, Daniela, Contrino, Sergio, Heimbach, Joshua, Hu, Fengyuan, Kalderimis, Alexis, Lyne, Mike, Reierskog, Kevin, Stepan, Radek, Sullivan, Julie, Wise, Archie, Yehudi, Yo, Micklem, Gos“…Built using the InterMine data integration platform, HumanMine includes genes, proteins, pathways, expression levels, Single nucleotide polymorphism (SNP), diseases and more, integrated into a single searchable database. …”
Publicado 2022
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1916“…Our results suggest that data integration can improve phenological research, and leveraging traits may predict phenology in poorly studied species.…”
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1917por Bilous, Mariia, Tran, Loc, Cianciaruso, Chiara, Gabriel, Aurélie, Michel, Hugo, Carmona, Santiago J., Pittet, Mikael J., Gfeller, David“…Our systematic benchmarking demonstrates that metacells not only preserve but often improve the results of downstream analyses including visualization, clustering, differential expression, cell type annotation, gene correlation, imputation, RNA velocity and data integration. By capitalizing on the redundancy inherent to scRNA-seq data, metacells significantly facilitate and accelerate the construction and interpretation of single-cell atlases, as demonstrated by the integration of 1.46 million cells from COVID-19 patients in less than two hours on a standard desktop. …”
Publicado 2022
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1918por Liu, Cong, Omilusik, Kyla, Toma, Clara, Kurd, Nadia S., Chang, John T., Goldrath, Ananda W., Wang, Wei“…We constructed the cell-type-specific transcriptional regulatory network and assessed the global importance of TFs based on the Taiji framework, which is a method we have previously developed that can infer the global impact of TFs using integrated transcriptomic and epigenetic data. Integrative analysis across cell types revealed putative driver TFs in cell lineage-specific differentiation in both mouse and human systems. …”
Publicado 2022
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1919“…The intersections between two error trendlines were used to define the optimal data selection points for data integration. The finding indicates that integrating the outputs from two Kinect sensor datasets using the proposed method can be more robust than using a single sensor for upper-limb joint angle trajectory estimations during the twisting task.…”
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1920“…The reconstruction of genomes is a critical step in genome-resolved metagenomics and for multi-omic data integration from microbial communities. Here, we present binny, a binning tool that produces high-quality metagenome-assembled genomes (MAG) from both contiguous and highly fragmented genomes. …”
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