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21801por Li, Xiang-Nan, Wang, Zhen-Jun, Ye, Chun-Xiang, Zhao, Bao-Cheng, Li, Zhu-Lin, Yang, Yong“…METHODS: High-throughput RNA sequencing (RNA-seq) was performed to assess circRNA expression profiles in 4 paired CRC tissues, and significantly dysregulated circRNAs were validated by quantitative real-time polymerase chain reaction (qRT-PCR). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to predict the potential functions of dysregulated circRNAs. …”
Publicado 2018
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21802por Li, Peng-tao, Rashid, Md. Harun or, Chen, Ting-ting, Lu, Quan-wei, Ge, Qun, Gong, Wan-kui, Liu, Ai-ying, Gong, Ju-wu, Shang, Hai-hong, Deng, Xiao-ying, Li, Jun-wen, Li, Shao-qi, Xiao, Xiang-hui, Liu, Rui-xian, Zhang, Qi, Duan, Li, Zou, Xian-yan, Zhang, Zhen, Jiang, Xiao, Zhang, Ya, Peng, Ren-hai, Shi, Yu-zhen, Yuan, You-lu“…Additionally, RNA sequencing was used for the same root samples, resulting in a total of 77,412 genes, of which 23,180 differentially expressed genes were identified from multiple comparisons between samples. After Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis on the expression profiles identified using Short Time-series Expression Miner, we found that the metabolic process in the biological process, as well as the pathways of phenylpropanoid biosynthesis and plant hormone signal transduction, participated significantly in the response to VW. …”
Publicado 2019
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21803“…Significance analysis of microarrays algorithm was used to screen differentially expressed genes related to pancreatic cancer. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were used to analyze the functional enrichment of the differentially expressed genes. …”
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21804por Li, Mei-wei, Gao, Li, Dang, Yi-wu, Li, Ping, Li, Zu-yun, Chen, Gang, Luo, Dian-zhong“…TCGA RNA-seq data were used to validate the inverse relationships between miR-146a-5p and its likely targets. Subsequently, gene ontology and pathway analyses were conducted using Funrich version 3.1.3. …”
Publicado 2019
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21805por Dye, Christian K., Corley, Michael J., Li, Dongmei, Khadka, Vedbar S., Mitchell, Brooks I., Sultana, Razvan, Lum-Jones, Annette, Shikuma, Cecilia M., Ndhlovu, Lishomwa C., Maunakea, Alika K.“…In support of this, gene ontology analysis of these 79 CpGs revealed overrepresentation of these CpGs at genes relevant to HSC function, including involvement in stem cell pluripotency, differentiation, and Wnt signaling pathways. …”
Publicado 2019
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21806por Zhu, Mingzhe, Li, Meng, Zhou, Wenjun, Yang, Yang, Li, Fenghua, Zhang, Li, Ji, Guang“…The intersections (244 mRNAs, 259 lncRNAs and 98 circRNAs) among the three groups were chosen for analysis. Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment revealed that most overlapping mRNAs were related to immune functions such as natural-killer-cell-mediated cytotoxicity, intestinal immune network for IgA production, and T cell receptor signaling pathway. …”
Publicado 2019
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21807por Lindstrand, Anna, Eisfeldt, Jesper, Pettersson, Maria, Carvalho, Claudia M. B., Kvarnung, Malin, Grigelioniene, Giedre, Anderlid, Britt-Marie, Bjerin, Olof, Gustavsson, Peter, Hammarsjö, Anna, Georgii-Hemming, Patrik, Iwarsson, Erik, Johansson-Soller, Maria, Lagerstedt-Robinson, Kristina, Lieden, Agne, Magnusson, Måns, Martin, Marcel, Malmgren, Helena, Nordenskjöld, Magnus, Norling, Ameli, Sahlin, Ellika, Stranneheim, Henrik, Tham, Emma, Wincent, Josephine, Ygberg, Sofia, Wedell, Anna, Wirta, Valtteri, Nordgren, Ann, Lundin, Johanna, Nilsson, Daniel“…The WGS data was processed for large (> 10 kb) SVs genome-wide and for exonic SVs and SNVs in a panel of 887 genes linked to intellectual disability as well as genes matched to patient-specific Human Phenotype Ontology (HPO) phenotypes. This yielded a total of 25 pathogenic variants (SNVs or SVs), of which 12 were detected by CMA as well. …”
Publicado 2019
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21808por Wu, Hua-Yu, Xia, Shuang, Liu, An-Gui, Wei, Min-Da, Chen, Zhong-Biao, Li, Yu-Xin, He, Yu, Liao, Min-Jun, Hu, Qi-Ping, Pan, Shang-Ling“…The predicted target genes of miR-132-3p were obtained from 12 online databases and were combined with the downregulated differentially expressed genes identified in the RNA-sequencing data of CCA. Gene Ontology annotation and pathway analysis were performed in WebGestalt. …”
Publicado 2019
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21809por Raggi, Federica, Cangelosi, Davide, Becherini, Pamela, Blengio, Fabiola, Morini, Martina, Acquaviva, Massimo, Belli, Maria Luisa, Panizzon, Giuseppe, Cervo, Giuseppe, Varesio, Luigi, Eva, Alessandra, Bosco, Maria Carla“…RESULTS: Pre-CPB samples showed significant differential expression of a total of 72 genes, 28 of which were overexpressed in ToF and 44 in ASD. According to Gene Ontology annotation, the mostly enriched biological processes were represented by matrix organization and cell adhesion in ToF and by muscle development and contractility in ASD specimens. …”
Publicado 2020
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21810“…The miRanda formula and functional enrichment analysis were used to screen abnormal miRNAs. Then, the Gene Ontology (GO) analysis was adapted to further screen the miRNAs related to cardiotoxicity after breast cancer chemotherapy. …”
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21811“…Network analysis methods were used to assess protein–protein interaction (PPI) networks, Gene Ontology (GO) terms and pathway enrichment for DEGs. …”
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21812por Mukhtar, Muhammad Uzair, Iqbal, Naveed, Yang, Jifei, Niu, Qingli, Zhao, Shuaiyang, Li, Zhi, Zhao, Yaru, Rashid, Muhammad, Chen, Ze, Guan, Guiquan, Liu, Zhijie, Yin, Hong“…The positive preys were then sequenced, and the obtained sequences were subjected to further analyses using Gene Ontology, UniProt, SMART, and STRING. Additionally, the interaction between the bait and the prey was evaluated using the glutathione S-transferase (GST) pull-down assay. …”
Publicado 2020
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21813por Dong, Qianqian, Wang, Zishi, Jiang, Mengwan, Sun, Hong, Wang, Xuqin, Li, Yangwei, Zhang, Yifeng, Cheng, Han, Chai, Yurong, Shao, Tian, Shi, Luye, Wang, Zhenlong“…We identified 359 and 515 DEGs by comparing the hypoxic and normoxia groups of L. mandarinus and L. brandtii, respectively. Gene Ontology (GO) analysis showed that upregulated DEGs in both species displayed similar terms in response to severe hypoxia; the main difference is that GO terms of L. brandtii were enriched in the immune system. …”
Publicado 2020
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21814por Kino, Richard I., Pellny, Till K., Mitchell, Rowan A. C., Gonzalez-Uriarte, Asier, Tosi, Paola“…Hierarchical clustering and gene ontology analysis resulted in the identification of a number of genes implicated in the regulation of cell wall expansion, predominantly expressed in the pericarp and significantly down-regulated under high p.a. temperatures, including endoglucanase, xyloglucan endotransglycosylases and a β-expansin. …”
Publicado 2020
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21815“…Moreover, the probable mechanism and regulatory relationship of m6A in sepsis was also explored through Gene Set Enrichment Analysis (GSEA), Weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) analysis and Co-expression analysis. …”
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21816por Peres de Oliveira, Andressa, Basei, Fernanda Luisa, Slepicka, Priscila Ferreira, de Castro Ferezin, Camila, Melo-Hanchuk, Talita D., de Souza, Edmarcia Elisa, Lima, Tanes I., dos Santos, Valquiria Tiago, Mendes, Davi, Silveira, Leonardo Reis, Menck, Carlos Frederico Martins, Kobarg, Jörg“…Proteomic data retrieved were next submitted to Integrated Interactome System analysis and differentially expressed proteins were attributed to Gene Ontology biological processes and assembled in protein networks by Cytoscape. …”
Publicado 2020
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21817“…Enrichment analysis of Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) was performed by the DAVID online tool. …”
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21818por Arcego, Danusa Mar, O’Toole, Nick, Buschdorf, Jan-Paul, Rayan, Nirmala Arul, Barth, Barbara, Pokhvisneva, Irina, Wang, Zihan, Patel, Sachin, Filho, Euclides José de Mendonça, de Lima, Randriely Merscher Sobreira, Dalmaz, Carla, Silveira, Patricia Pelufo, Meaney, Michael Joseph“…Two modules were preserved in a replication dataset (Vietnam) and in data from female rats treated with corticosterone for 6 weeks, being the black module (557 genes, P=0.01, r=0.7) the one having the highest correlation with glucocorticoid exposure. Gene ontology analysis (FDR<0.05, Metacore®) revealed that this module is associated with transcription processes. …”
Publicado 2020
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21819por Zhang, Dongyun, Damoiseaux, Robert, Bergsneider, Marvin, Wang, Marilene B, Yong, William H, Kelly, Kathleen A, Heaney, Anthony P“…Hierarchical clustering showed that 1432 differentially expressed genes (DEGs, p≤0.05 and fold-change≥1.5) were altered by CUDC-907 treatment in comparison to the vehicle-treated control cells. Gene ontology (GO) analysis of 456 downregulated and 976 upregulated DEGs revealed that the most enriched biological processes were cholesterol biosynthesis (GO:0006695, p=1.977e-17) and the type I interferon signaling pathway (GO: 0060337, p=4.928e-7) respectively. …”
Publicado 2020
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21820por Leung, Karen Lynn, Sanchita, Smriti, Dumesic, Phillip, Ding, Xiangming, Li, Xinmin, Morselli, Marco, Pellegrini, Matteo, Dumesic, Daniel Anthony, Chazenbalk, Gregorio Daniel“…Differentially expressed genes were filtered for significance (p(adj)<0.05) and fold change (>2-fold); upstream regulator genes and gene ontology (GO) functions were determined using Ingenuity Pathway Analysis. …”
Publicado 2020
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