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Recurrent gene fusions in prostate cancer.

Nature reviews. Cancer

Kumar-Sinha C, Tomlins SA, Chinnaiyan AM.
PMID: 18563191
Nat Rev Cancer. 2008 Jul;8(7):497-511. doi: 10.1038/nrc2402. Epub 2008 Jun 19.

The discovery of recurrent gene fusions in a majority of prostate cancers has important clinical and biological implications in the study of common epithelial tumours. Gene fusion and chromosomal rearrangements were previously thought to be primarily the oncogenic mechanism...

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Kumar-Sinha C, Tomlins SA, Chinnaiyan AM. Recurrent gene fusions in prostate cancer. Nat Rev Cancer. 2008;8(7):497-511doi: 10.1038/nrc2402.
Kumar-Sinha, C., Tomlins, S. A., & Chinnaiyan, A. M. (2008). Recurrent gene fusions in prostate cancer. Nature reviews. Cancer, 8(7), 497-511. https://doi.org/10.1038/nrc2402
Kumar-Sinha, Chandan, et al. "Recurrent gene fusions in prostate cancer." Nature reviews. Cancer vol. 8,7 (2008): 497-511. doi: https://doi.org/10.1038/nrc2402
Kumar-Sinha C, Tomlins SA, Chinnaiyan AM. Recurrent gene fusions in prostate cancer. Nat Rev Cancer. 2008 Jul;8(7):497-511. doi: 10.1038/nrc2402. Epub 2008 Jun 19. PMID: 18563191; PMCID: PMC2711688.
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Interstitial Deletions Generating Fusion Genes.

Cancer genomics & proteomics

Panagopoulos I, Heim S.
PMID: 33893073
Cancer Genomics Proteomics. 2021 May-Jun;18(3):167-196. doi: 10.21873/cgp.20251.

A fusion gene is the physical juxtaposition of two different genes resulting in a structure consisting of the head of one gene and the tail of the other. Gene fusion is often a primary neoplasia-inducing event in leukemias, lymphomas,...

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Panagopoulos I, Heim S. Interstitial Deletions Generating Fusion Genes. Cancer Genomics Proteomics. 2021;18(3):167-196doi: 10.21873/cgp.20251.
Panagopoulos, I., & Heim, S. (2021). Interstitial Deletions Generating Fusion Genes. Cancer genomics & proteomics, 18(3), 167-196. https://doi.org/10.21873/cgp.20251
Panagopoulos, Ioannis, and Heim, Sverre. "Interstitial Deletions Generating Fusion Genes." Cancer genomics & proteomics vol. 18,3 (2021): 167-196. doi: https://doi.org/10.21873/cgp.20251
Panagopoulos I, Heim S. Interstitial Deletions Generating Fusion Genes. Cancer Genomics Proteomics. 2021 May-Jun;18(3):167-196. doi: 10.21873/cgp.20251. PMID: 33893073; PMCID: PMC8126330.
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INTEGRATE-Vis: a tool for comprehensive gene fusion visualization.

Scientific reports

Zhang J, Gao T, Maher CA.
PMID: 29259323
Sci Rep. 2017 Dec 19;7(1):17808. doi: 10.1038/s41598-017-18257-2.

Despite the increasing quantity of tools for accurately predicting gene fusion candidates from sequencing data, we are still faced with the critical challenge of visualizing the corresponding gene fusion products to infer their biological consequence (i.e. novel protein and...

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Zhang J, Gao T, Maher CA. INTEGRATE-Vis: a tool for comprehensive gene fusion visualization. Sci Rep. 2017;7(1):17808doi: 10.1038/s41598-017-18257-2.
Zhang, J., Gao, T., & Maher, C. A. (2017). INTEGRATE-Vis: a tool for comprehensive gene fusion visualization. Scientific reports, 7(1), 17808. https://doi.org/10.1038/s41598-017-18257-2
Zhang, Jin, et al. "INTEGRATE-Vis: a tool for comprehensive gene fusion visualization." Scientific reports vol. 7,1 (2017): 17808. doi: https://doi.org/10.1038/s41598-017-18257-2
Zhang J, Gao T, Maher CA. INTEGRATE-Vis: a tool for comprehensive gene fusion visualization. Sci Rep. 2017 Dec 19;7(1):17808. doi: 10.1038/s41598-017-18257-2. PMID: 29259323; PMCID: PMC5736641.
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Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives.

Briefings in bioinformatics

Wang Q, Xia J, Jia P, Pao W, Zhao Z.
PMID: 22877769
Brief Bioinform. 2013 Jul;14(4):506-19. doi: 10.1093/bib/bbs044. Epub 2012 Aug 09.

Gene fusions are important genomic events in human cancer because their fusion gene products can drive the development of cancer and thus are potential prognostic tools or therapeutic targets in anti-cancer treatment. Major advancements have been made in computational...

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Wang Q, Xia J, Jia P, et al. Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives. Brief Bioinform. 2012;14(4):506-19doi: 10.1093/bib/bbs044.
Wang, Q., Xia, J., Jia, P., Pao, W., & Zhao, Z. (2013). Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives. Briefings in bioinformatics, 14(4), 506-19. https://doi.org/10.1093/bib/bbs044
Wang, Qingguo, et al. "Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives." Briefings in bioinformatics vol. 14,4 (2013): 506-19. doi: https://doi.org/10.1093/bib/bbs044
Wang Q, Xia J, Jia P, Pao W, Zhao Z. Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives. Brief Bioinform. 2013 Jul;14(4):506-19. doi: 10.1093/bib/bbs044. Epub 2012 Aug 09. PMID: 22877769; PMCID: PMC3713712.
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Hierarchical shared transfer learning for biomedical named entity recognition.

BMC bioinformatics

Chai Z, Jin H, Shi S, Zhan S, Zhuo L, Yang Y.
PMID: 34983362
BMC Bioinformatics. 2022 Jan 04;23(1):8. doi: 10.1186/s12859-021-04551-4.

BACKGROUND: Biomedical named entity recognition (BioNER) is a basic and important medical information extraction task to extract medical entities with special meaning from medical texts. In recent years, deep learning has become the main research direction of BioNER due...

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Chai Z, Jin H, Shi S, et al. Hierarchical shared transfer learning for biomedical named entity recognition. BMC Bioinformatics. 2022;23(1):8doi: 10.1186/s12859-021-04551-4.
Chai, Z., Jin, H., Shi, S., Zhan, S., Zhuo, L., & Yang, Y. (2022). Hierarchical shared transfer learning for biomedical named entity recognition. BMC bioinformatics, 23(1), 8. https://doi.org/10.1186/s12859-021-04551-4
Chai, Zhaoying, et al. "Hierarchical shared transfer learning for biomedical named entity recognition." BMC bioinformatics vol. 23,1 (2022): 8. doi: https://doi.org/10.1186/s12859-021-04551-4
Chai Z, Jin H, Shi S, Zhan S, Zhuo L, Yang Y. Hierarchical shared transfer learning for biomedical named entity recognition. BMC Bioinformatics. 2022 Jan 04;23(1):8. doi: 10.1186/s12859-021-04551-4. PMID: 34983362.
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Cytogenomic aberrations associated with prostate cancer.

Cancer genetics

Gu G, Brothman AR.
PMID: 21504704
Cancer Genet. 2011 Feb;204(2):57-67. doi: 10.1016/j.cancergencyto.2010.10.003.

Genetic changes associated with prostate cancer have finally begun to elucidate some of the mechanisms involved in the etiology of this complex and common disease. We highlight consistent and relatively frequent abnormalities seen by various methodologies. Specifically, the results...

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Gu G, Brothman AR. Cytogenomic aberrations associated with prostate cancer. Cancer Genet. 2011;204(2):57-67doi: 10.1016/j.cancergencyto.2010.10.003.
Gu, G., & Brothman, A. R. (2011). Cytogenomic aberrations associated with prostate cancer. Cancer genetics, 204(2), 57-67. https://doi.org/10.1016/j.cancergencyto.2010.10.003
Gu, Guangyu, and Brothman, Arthur R. "Cytogenomic aberrations associated with prostate cancer." Cancer genetics vol. 204,2 (2011): 57-67. doi: https://doi.org/10.1016/j.cancergencyto.2010.10.003
Gu G, Brothman AR. Cytogenomic aberrations associated with prostate cancer. Cancer Genet. 2011 Feb;204(2):57-67. doi: 10.1016/j.cancergencyto.2010.10.003. PMID: 21504704.
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Showing 1 to 6 of 6 entries