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Analysis of multiple association studies provides evidence of an expression QTL hub in gene-gene interaction network affecting HDL cholesterol levels.

• Authors : Ma L; Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.; Ballantyne C

Subjects: Epistasis, Genetic* ; Genetic Association Studies* ; Quantitative Trait Loci*

• Source: PloS one [PLoS One] 2014 Mar 20; Vol. 9 (3), pp. e92469. Date of Electronic Publication: 2014 Mar 20 (Print Publication: 2014).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Utilizing systems genetics to enhance understanding into molecular targets of skin cancer.

• Authors : Kim, Minjae J.¹ (AUTHOR) ; Kulkarni, Vishnutheertha² (AUTHOR); Goode, Micah A.¹ (AUTHOR)

• Source: Experimental Dermatology. Mar2024, Vol. 33 Issue 3, p1-9. 9p.

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Potential Early Markers for Breast Cancer: A Proteomic Approach Comparing Saliva and Serum Samples in a Pilot Study.

• Authors : Sinha, Indu¹ (AUTHOR); Fogle, Rachel L.² (AUTHOR); Gulfidan, Gizem³ (AUTHOR)

Subjects: *SALIVA; *TUMOR markers; *BREAST cancerUNITED States

• Source: International Journal of Molecular Sciences. Feb2023, Vol. 24 Issue 4, p4164. 19p.

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Proteins : From Structural Classification to Amino Acid Interaction Networks.

• Authors : Gaci, Omar; Balev, Stefan;

Subjects: proteins; amino acid; interaction networkLas Vegas; United States

• Source: Proceedings of the BIOCOMP 08 ; The 2008 International Conference on Bioinformatics & Computational Biology. ; https://hal.science/hal-00430627 ; The 2008 International Conference on Bioinformatics &

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Node Degree Distribution in Amino Acid Interaction Networks

• Authors : Gaci, Omar; Balev, Stefan;

Subjects: interaction network; protein structure; scale-free networkWashington D.C.; United StatesWashington D.C., United States

• Source: Proceedings of the 2009 IEEE BIBM ; Computational Structural Bioinformatics Workshop ; https://hal.science/hal-00431277 ; Computational Structural Bioinformatics Workshop, Nov 2009, Washington D.C.,

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Motif Prediction in Amino Acid Interaction Networks

• Authors : Gaci, Omar; Balev, Stefan;

Subjects: interaction network; protein structure; genetic algorithmSan Francisco; United States

• Source: Proceedings of the WCECS 09 ; International Conference on Computational Biology 2009 ; https://hal.science/hal-00431276 ; International Conference on Computational Biology 2009, Sep 2009, San

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Multiscale topology in interactomic network: from transcriptome to antiaddiction drug repurposing.

• Authors : Du, Hongyan^1,2 (AUTHOR); Wei, Guo-Wei^2,3,4 (AUTHOR) ; Hou, Tingjun¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Mar2024, Vol. 25 Issue 2, p1-15. 15p.

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Screening of differentially expressed genes and identification of AMACR as a prognostic marker in prostate cancer.

• Authors : Fu, Ping¹ (AUTHOR); Bu, Chunying² (AUTHOR); Cui, Bin¹ (AUTHOR)

• Source: Andrologia. Jul2021, Vol. 53 Issue 6, p1-15. 15p.

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EDUCATION INTERNATIONALIZATION: RELATIONSHIP BETWEEN TRAINING ABROAD AND INTERNATIONAL PUBLICATIONS PROGRAMS IN STRICTO SENSU IN ADMINISTRATION.

• Authors : Chinelato, Flavia Braga¹ ; Ziviani, Fabrício² ; de Freitas Cruz, Diogo Batista³

• Source: Brazilian Journal of Management / Revista de Administração da UFSM. Apr-Jun2019, Vol. 12 Issue 2, p255-267. 13p.

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Identifying potential survival strategies of HIV-1through virus-host protein interaction networks.

• Authors : van Dijk, David¹ ; Ertaylan, Gokhan¹ ; Boucher, Charles A. B.²

• Source: BMC Systems Biology. 2010, Vol. 4, p96-112. 17p.

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