Characterizing mutation–expression network relationships in multiple cancers
Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expre...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ghazanfar, Shila [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent - Saad, Ali ELSEVIER, 2016, CBAC, Oxford |
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| Übergeordnetes Werk: |
volume:63 ; year:2016 ; pages:73-82 ; extent:10 |
| Links: |
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| DOI / URN: |
10.1016/j.compbiolchem.2016.02.009 |
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| 520 | |a Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. | ||
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10.1016/j.compbiolchem.2016.02.009 doi GBVA2016005000010.pica (DE-627)ELV024250953 (ELSEVIER)S1476-9271(16)30038-X DE-627 ger DE-627 rakwb eng 570 540 004 570 DE-600 540 DE-600 004 DE-600 670 VZ 530 VZ 660 VZ 000 150 VZ 54.74 bkl Ghazanfar, Shila verfasserin aut Characterizing mutation–expression network relationships in multiple cancers 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. DE Elsevier WGS Elsevier WES Elsevier NMF Elsevier PPI Elsevier WGCNA Elsevier TCGA Elsevier GEO Elsevier NCG Elsevier UPPI Elsevier FDR Elsevier HGNC Elsevier KEGG Elsevier CGC Elsevier Yang, Jean Yee Hwa oth Enthalten in Elsevier Science Saad, Ali ELSEVIER Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent 2016 CBAC Oxford (DE-627)ELV01384413X volume:63 year:2016 pages:73-82 extent:10 https://doi.org/10.1016/j.compbiolchem.2016.02.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 54.74 Maschinelles Sehen VZ AR 63 2016 73-82 10 045F 570 |
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10.1016/j.compbiolchem.2016.02.009 doi GBVA2016005000010.pica (DE-627)ELV024250953 (ELSEVIER)S1476-9271(16)30038-X DE-627 ger DE-627 rakwb eng 570 540 004 570 DE-600 540 DE-600 004 DE-600 670 VZ 530 VZ 660 VZ 000 150 VZ 54.74 bkl Ghazanfar, Shila verfasserin aut Characterizing mutation–expression network relationships in multiple cancers 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. DE Elsevier WGS Elsevier WES Elsevier NMF Elsevier PPI Elsevier WGCNA Elsevier TCGA Elsevier GEO Elsevier NCG Elsevier UPPI Elsevier FDR Elsevier HGNC Elsevier KEGG Elsevier CGC Elsevier Yang, Jean Yee Hwa oth Enthalten in Elsevier Science Saad, Ali ELSEVIER Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent 2016 CBAC Oxford (DE-627)ELV01384413X volume:63 year:2016 pages:73-82 extent:10 https://doi.org/10.1016/j.compbiolchem.2016.02.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 54.74 Maschinelles Sehen VZ AR 63 2016 73-82 10 045F 570 |
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10.1016/j.compbiolchem.2016.02.009 doi GBVA2016005000010.pica (DE-627)ELV024250953 (ELSEVIER)S1476-9271(16)30038-X DE-627 ger DE-627 rakwb eng 570 540 004 570 DE-600 540 DE-600 004 DE-600 670 VZ 530 VZ 660 VZ 000 150 VZ 54.74 bkl Ghazanfar, Shila verfasserin aut Characterizing mutation–expression network relationships in multiple cancers 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. DE Elsevier WGS Elsevier WES Elsevier NMF Elsevier PPI Elsevier WGCNA Elsevier TCGA Elsevier GEO Elsevier NCG Elsevier UPPI Elsevier FDR Elsevier HGNC Elsevier KEGG Elsevier CGC Elsevier Yang, Jean Yee Hwa oth Enthalten in Elsevier Science Saad, Ali ELSEVIER Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent 2016 CBAC Oxford (DE-627)ELV01384413X volume:63 year:2016 pages:73-82 extent:10 https://doi.org/10.1016/j.compbiolchem.2016.02.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 54.74 Maschinelles Sehen VZ AR 63 2016 73-82 10 045F 570 |
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10.1016/j.compbiolchem.2016.02.009 doi GBVA2016005000010.pica (DE-627)ELV024250953 (ELSEVIER)S1476-9271(16)30038-X DE-627 ger DE-627 rakwb eng 570 540 004 570 DE-600 540 DE-600 004 DE-600 670 VZ 530 VZ 660 VZ 000 150 VZ 54.74 bkl Ghazanfar, Shila verfasserin aut Characterizing mutation–expression network relationships in multiple cancers 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. DE Elsevier WGS Elsevier WES Elsevier NMF Elsevier PPI Elsevier WGCNA Elsevier TCGA Elsevier GEO Elsevier NCG Elsevier UPPI Elsevier FDR Elsevier HGNC Elsevier KEGG Elsevier CGC Elsevier Yang, Jean Yee Hwa oth Enthalten in Elsevier Science Saad, Ali ELSEVIER Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent 2016 CBAC Oxford (DE-627)ELV01384413X volume:63 year:2016 pages:73-82 extent:10 https://doi.org/10.1016/j.compbiolchem.2016.02.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 54.74 Maschinelles Sehen VZ AR 63 2016 73-82 10 045F 570 |
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10.1016/j.compbiolchem.2016.02.009 doi GBVA2016005000010.pica (DE-627)ELV024250953 (ELSEVIER)S1476-9271(16)30038-X DE-627 ger DE-627 rakwb eng 570 540 004 570 DE-600 540 DE-600 004 DE-600 670 VZ 530 VZ 660 VZ 000 150 VZ 54.74 bkl Ghazanfar, Shila verfasserin aut Characterizing mutation–expression network relationships in multiple cancers 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. DE Elsevier WGS Elsevier WES Elsevier NMF Elsevier PPI Elsevier WGCNA Elsevier TCGA Elsevier GEO Elsevier NCG Elsevier UPPI Elsevier FDR Elsevier HGNC Elsevier KEGG Elsevier CGC Elsevier Yang, Jean Yee Hwa oth Enthalten in Elsevier Science Saad, Ali ELSEVIER Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent 2016 CBAC Oxford (DE-627)ELV01384413X volume:63 year:2016 pages:73-82 extent:10 https://doi.org/10.1016/j.compbiolchem.2016.02.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 54.74 Maschinelles Sehen VZ AR 63 2016 73-82 10 045F 570 |
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Enthalten in Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent Oxford volume:63 year:2016 pages:73-82 extent:10 |
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Enthalten in Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent Oxford volume:63 year:2016 pages:73-82 extent:10 |
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Mesoporous silica/polyacrylamide composite: Preparation by UV-graft photopolymerization, characterization and use as Hg(II) adsorbent |
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Characterizing mutation–expression network relationships in multiple cancers |
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Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. |
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Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. |
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Data made available through large cancer consortia like The Cancer Genome Atlas make for a rich source of information to be studied across and between cancers. In recent years, network approaches have been applied to such data in uncovering the complex interrelationships between mutational and expression profiles, but lack direct testing for expression changes via mutation. In this pan-cancer study we analyze mutation and gene expression information in an integrative manner by considering the networks generated by testing for differences in expression in direct association with specific mutations. We relate our findings among the 19 cancers examined to identify commonalities and differences as well as their characteristics. |
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