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Showing 1 to 12 of 87 entries
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[Fine mapping of complex disease susceptibility loci].

Yi chuan = Hereditas

Song Q, Zhang H, Ma Y, Zhou G.
PMID: 24846913
Yi Chuan. 2014 Jan;36(1):2-10. doi: 10.3724/sp.j.1005.2014.00002.

Genome-wide association studies (GWAS) using single nucleotide polymorphism (SNP) markers have identified more than 3800 susceptibility loci for more than 660 diseases or traits. However, the most significantly associated variants or causative variants in these loci and their biological...

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Song Q, Zhang H, Ma Y, et al. [Fine mapping of complex disease susceptibility loci]. Yi Chuan. 2014;36(1):2-10doi: 10.3724/sp.j.1005.2014.00002.
Song, Q., Zhang, H., Ma, Y., & Zhou, G. (2014). [Fine mapping of complex disease susceptibility loci]. Yi chuan = Hereditas, 36(1), 2-10. https://doi.org/10.3724/sp.j.1005.2014.00002
Song, Qingfeng, et al. "[Fine mapping of complex disease susceptibility loci]." Yi chuan = Hereditas vol. 36,1 (2014): 2-10. doi: https://doi.org/10.3724/sp.j.1005.2014.00002
Song Q, Zhang H, Ma Y, Zhou G. [Fine mapping of complex disease susceptibility loci]. Yi Chuan. 2014 Jan;36(1):2-10. doi: 10.3724/sp.j.1005.2014.00002. Chinese. PMID: 24846913.
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Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.

PloS one

Davis AP, Wiegers TC, King BL, Wiegers J, Grondin CJ, Sciaky D, Johnson RJ, Mattingly CJ.
PMID: 27171405
PLoS One. 2016 May 12;11(5):e0155530. doi: 10.1371/journal.pone.0155530. eCollection 2016.

Strategies for discovering common molecular events among disparate diseases hold promise for improving understanding of disease etiology and expanding treatment options. One technique is to leverage curated datasets found in the public domain. The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/)...

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Davis AP, Wiegers TC, King BL, et al. Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database. PLoS One. 2016;11(5):e0155530doi: 10.1371/journal.pone.0155530.
Davis, A. P., Wiegers, T. C., King, B. L., Wiegers, J., Grondin, C. J., Sciaky, D., Johnson, R. J., & Mattingly, C. J. (2016). Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database. PloS one, 11(5), e0155530. https://doi.org/10.1371/journal.pone.0155530
Davis, Allan Peter, et al. "Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database." PloS one vol. 11,5 (2016): e0155530. doi: https://doi.org/10.1371/journal.pone.0155530
Davis AP, Wiegers TC, King BL, Wiegers J, Grondin CJ, Sciaky D, Johnson RJ, Mattingly CJ. Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database. PLoS One. 2016 May 12;11(5):e0155530. doi: 10.1371/journal.pone.0155530. eCollection 2016. PMID: 27171405; PMCID: PMC4865041.
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A disease similarity matrix based on the uniqueness of shared genes.

BMC medical genomics

Carson MB, Liu C, Lu Y, Jia C, Lu H.
PMID: 28589854
BMC Med Genomics. 2017 May 24;10:26. doi: 10.1186/s12920-017-0265-2.

BACKGROUND: Complex diseases involve many genes, and these genes are often associated with several different illnesses. Disease similarity measurement can be based on shared genotype or phenotype. Quantifying relationships between genes can reveal previously unknown connections and form a...

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Carson MB, Liu C, Lu Y, et al. A disease similarity matrix based on the uniqueness of shared genes. BMC Med Genomics. 2017;10:26doi: 10.1186/s12920-017-0265-2.
Carson, M. B., Liu, C., Lu, Y., Jia, C., & Lu, H. (2017). A disease similarity matrix based on the uniqueness of shared genes. BMC medical genomics, 1026. https://doi.org/10.1186/s12920-017-0265-2
Carson, Matthew B, et al. "A disease similarity matrix based on the uniqueness of shared genes." BMC medical genomics vol. 10 (2017): 26. doi: https://doi.org/10.1186/s12920-017-0265-2
Carson MB, Liu C, Lu Y, Jia C, Lu H. A disease similarity matrix based on the uniqueness of shared genes. BMC Med Genomics. 2017 May 24;10:26. doi: 10.1186/s12920-017-0265-2. PMID: 28589854; PMCID: PMC5461528.
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Differentiating disease subtypes by using pathway patterns constructed from gene expressions and protein networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Hung FH, Chiu HW.
PMID: 26737786
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6519-22. doi: 10.1109/EMBC.2015.7319886.

Gene expression profiles differ in different diseases. Even if diseases are at the same stage, such diseases exhibit different gene expressions, not to mention the different subtypes at a single lesion site. Distinguishing different disease subtypes at a single...

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Hung FH, Chiu HW. Differentiating disease subtypes by using pathway patterns constructed from gene expressions and protein networks. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6519-22doi: 10.1109/EMBC.2015.7319886.
Hung, F. H., & Chiu, H. W. (2015). Differentiating disease subtypes by using pathway patterns constructed from gene expressions and protein networks. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20156519-22. https://doi.org/10.1109/EMBC.2015.7319886
Hung, Fei-Hung, and Chiu, Hung-Wen. "Differentiating disease subtypes by using pathway patterns constructed from gene expressions and protein networks." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2015 (2015): 6519-22. doi: https://doi.org/10.1109/EMBC.2015.7319886
Hung FH, Chiu HW. Differentiating disease subtypes by using pathway patterns constructed from gene expressions and protein networks. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6519-22. doi: 10.1109/EMBC.2015.7319886. PMID: 26737786.
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DISEASES: text mining and data integration of disease-gene associations.

Methods (San Diego, Calif.)

Pletscher-Frankild S, Pallejà A, Tsafou K, Binder JX, Jensen LJ.
PMID: 25484339
Methods. 2015 Mar;74:83-9. doi: 10.1016/j.ymeth.2014.11.020. Epub 2014 Dec 05.

Text mining is a flexible technology that can be applied to numerous different tasks in biology and medicine. We present a system for extracting disease-gene associations from biomedical abstracts. The system consists of a highly efficient dictionary-based tagger for...

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Pletscher-Frankild S, Pallejà A, Tsafou K, et al. DISEASES: text mining and data integration of disease-gene associations. Methods. 2014;74:83-9doi: 10.1016/j.ymeth.2014.11.020.
Pletscher-Frankild, S., Pallejà, A., Tsafou, K., Binder, J. X., & Jensen, L. J. (2015). DISEASES: text mining and data integration of disease-gene associations. Methods (San Diego, Calif.), 7483-9. https://doi.org/10.1016/j.ymeth.2014.11.020
Pletscher-Frankild, Sune, et al. "DISEASES: text mining and data integration of disease-gene associations." Methods (San Diego, Calif.) vol. 74 (2015): 83-9. doi: https://doi.org/10.1016/j.ymeth.2014.11.020
Pletscher-Frankild S, Pallejà A, Tsafou K, Binder JX, Jensen LJ. DISEASES: text mining and data integration of disease-gene associations. Methods. 2015 Mar;74:83-9. doi: 10.1016/j.ymeth.2014.11.020. Epub 2014 Dec 05. PMID: 25484339.
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Network medicine: a network-based approach to human disease.

Nature reviews. Genetics

Barabási AL, Gulbahce N, Loscalzo J.
PMID: 21164525
Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918.

Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue...

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Barabási AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011;12(1):56-68doi: 10.1038/nrg2918.
Barabási, A. L., Gulbahce, N., & Loscalzo, J. (2011). Network medicine: a network-based approach to human disease. Nature reviews. Genetics, 12(1), 56-68. https://doi.org/10.1038/nrg2918
Barabási, Albert-László, et al. "Network medicine: a network-based approach to human disease." Nature reviews. Genetics vol. 12,1 (2011): 56-68. doi: https://doi.org/10.1038/nrg2918
Barabási AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918. PMID: 21164525; PMCID: PMC3140052.
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Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases.

Artificial intelligence in medicine

Mukhopadhyay S, Palakal M, Maddu K.
PMID: 20382004
Artif Intell Med. 2010 Jul;49(3):145-54. doi: 10.1016/j.artmed.2010.03.002. Epub 2010 Apr 09.

OBJECTIVES: Biological research literature, as in many other domains of human endeavor, represents a rich, ever growing source of knowledge. An important form of such biological knowledge constitutes associations among biological entities such as genes, proteins, diseases, drugs and...

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Mukhopadhyay S, Palakal M, Maddu K. Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases. Artif Intell Med. 2010;49(3):145-54doi: 10.1016/j.artmed.2010.03.002.
Mukhopadhyay, S., Palakal, M., & Maddu, K. (2010). Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases. Artificial intelligence in medicine, 49(3), 145-54. https://doi.org/10.1016/j.artmed.2010.03.002
Mukhopadhyay, Snehasis, et al. "Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases." Artificial intelligence in medicine vol. 49,3 (2010): 145-54. doi: https://doi.org/10.1016/j.artmed.2010.03.002
Mukhopadhyay S, Palakal M, Maddu K. Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases. Artif Intell Med. 2010 Jul;49(3):145-54. doi: 10.1016/j.artmed.2010.03.002. Epub 2010 Apr 09. PMID: 20382004.
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Molecular imaging: current status and emerging strategies.

Clinical radiology

Pysz MA, Gambhir SS, Willmann JK.
PMID: 20541650
Clin Radiol. 2010 Jul;65(7):500-16. doi: 10.1016/j.crad.2010.03.011.

In vivo molecular imaging has a great potential to impact medicine by detecting diseases in early stages (screening), identifying extent of disease, selecting disease- and patient-specific treatment (personalized medicine), applying a directed or targeted therapy, and measuring molecular-specific effects...

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Pysz MA, Gambhir SS, Willmann JK. Molecular imaging: current status and emerging strategies. Clin Radiol. 2010;65(7):500-16doi: 10.1016/j.crad.2010.03.011.
Pysz, M. A., Gambhir, S. S., & Willmann, J. K. (2010). Molecular imaging: current status and emerging strategies. Clinical radiology, 65(7), 500-16. https://doi.org/10.1016/j.crad.2010.03.011
Pysz, M A, et al. "Molecular imaging: current status and emerging strategies." Clinical radiology vol. 65,7 (2010): 500-16. doi: https://doi.org/10.1016/j.crad.2010.03.011
Pysz MA, Gambhir SS, Willmann JK. Molecular imaging: current status and emerging strategies. Clin Radiol. 2010 Jul;65(7):500-16. doi: 10.1016/j.crad.2010.03.011. PMID: 20541650; PMCID: PMC3150531.
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Enabling enrichment analysis with the Human Disease Ontology.

Journal of biomedical informatics

LePendu P, Musen MA, Shah NH.
PMID: 21550421
J Biomed Inform. 2011 Dec;44:S31-S38. doi: 10.1016/j.jbi.2011.04.007. Epub 2011 Apr 29.

Advanced statistical methods used to analyze high-throughput data such as gene-expression assays result in long lists of "significant genes." One way to gain insight into the significance of altered expression levels is to determine whether Gene Ontology (GO) terms...

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LePendu P, Musen MA, Shah NH. Enabling enrichment analysis with the Human Disease Ontology. J Biomed Inform. 2011;44:S31-S38doi: 10.1016/j.jbi.2011.04.007.
LePendu, P., Musen, M. A., & Shah, N. H. (2011). Enabling enrichment analysis with the Human Disease Ontology. Journal of biomedical informatics, 44S31-S38. https://doi.org/10.1016/j.jbi.2011.04.007
LePendu, Paea, et al. "Enabling enrichment analysis with the Human Disease Ontology." Journal of biomedical informatics vol. 44 (2011): S31-S38. doi: https://doi.org/10.1016/j.jbi.2011.04.007
LePendu P, Musen MA, Shah NH. Enabling enrichment analysis with the Human Disease Ontology. J Biomed Inform. 2011 Dec;44:S31-S38. doi: 10.1016/j.jbi.2011.04.007. Epub 2011 Apr 29. PMID: 21550421; PMCID: PMC3392036.
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Human genetics: pleiotropic mutations.

Nature reviews. Genetics

Stower H.
PMID: 22143242
Nat Rev Genet. 2011 Dec 06;13(1):5. doi: 10.1038/nrg3132.

No abstract available.

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Stower H. Human genetics: pleiotropic mutations. Nat Rev Genet. 2011;13(1):5doi: 10.1038/nrg3132.
Stower, H. (2011). Human genetics: pleiotropic mutations. Nature reviews. Genetics, 13(1), 5. https://doi.org/10.1038/nrg3132
Stower, Hannah. "Human genetics: pleiotropic mutations." Nature reviews. Genetics vol. 13,1 (2011): 5. doi: https://doi.org/10.1038/nrg3132
Stower H. Human genetics: pleiotropic mutations. Nat Rev Genet. 2011 Dec 06;13(1):5. doi: 10.1038/nrg3132. PMID: 22143242.
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The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals.

Methods in molecular biology (Clifton, N.J.)

Kotera M, Hirakawa M, Tokimatsu T, Goto S, Kanehisa M.
PMID: 22130871
Methods Mol Biol. 2012;802:19-39. doi: 10.1007/978-1-61779-400-1_2.

In this chapter, we demonstrate the usability of the KEGG (Kyoto encyclopedia of genes and genomes) databases and tools, especially focusing on the visualization of the omics data. The desktop application KegArray and many Web-based tools are tightly integrated...

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Kotera M, Hirakawa M, Tokimatsu T, et al. The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals. Methods Mol Biol. 2012;802:19-39doi: 10.1007/978-1-61779-400-1_2.
Kotera, M., Hirakawa, M., Tokimatsu, T., Goto, S., & Kanehisa, M. (2012). The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals. Methods in molecular biology (Clifton, N.J.), 80219-39. https://doi.org/10.1007/978-1-61779-400-1_2
Kotera, Masaaki, et al. "The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals." Methods in molecular biology (Clifton, N.J.) vol. 802 (2012): 19-39. doi: https://doi.org/10.1007/978-1-61779-400-1_2
Kotera M, Hirakawa M, Tokimatsu T, Goto S, Kanehisa M. The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals. Methods Mol Biol. 2012;802:19-39. doi: 10.1007/978-1-61779-400-1_2. PMID: 22130871.
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[Genomics of common human diseases].

Gaceta medica de Mexico

Salamanca-Gómez F.
PMID: 20077874
Gac Med Mex. 2009 Nov-Dec;145(6):537-8.

No abstract available.

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Salamanca-Gómez F. La genómica de las enfermedades humanas comunes. [Genomics of common human diseases]. Gac Med Mex. 2009;145(6):537-8
Salamanca-Gómez, F. (2009). La genómica de las enfermedades humanas comunes. [Genomics of common human diseases]. Gaceta medica de Mexico, 145(6), 537-8.
Salamanca-Gómez, Fabio. "La genómica de las enfermedades humanas comunes." [Genomics of common human diseases]. Gaceta medica de Mexico vol. 145,6 (2009): 537-8.
Salamanca-Gómez F. La genómica de las enfermedades humanas comunes. [Genomics of common human diseases]. Gac Med Mex. 2009 Nov-Dec;145(6):537-8. Spanish. PMID: 20077874.
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Showing 1 to 12 of 87 entries