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Soheili Z-S. Editorial — Systems Biology Approach for Identification of Essential Growth Factors in Retinal Regeneration. JOVR [Internet]. 2021Jan.20 [cited 2024May5];16(1):1–2. Available from: https://knepublishing.com/index.php/JOVR/article/view/8242
https://doi.org/10.18502/jovr.v16i1.8242
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Zahra-Soheila Soheili
Zahra-Soheila Soheili
Department of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran
Published Date
- Jan 20, 2021
Editorial — Systems Biology Approach for Identification of Essential Growth Factors in Retinal Regeneration
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References
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3. Beheshtizadeh N, Baradaran-Rafii A, Sistani MS, Azami M. An In-Silico Study on the Most Effective Growth Factors in Retinal Regeneration using Tissue Engineering Concepts. J Ophthalmic Vis Res 2021;16:56-67.
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5. Mahadevan R, Palsson BO. Properties of metabolic networks: structure versus function. Biophys J 2005;88:L07–L09.
6. Jalili M, Salehzadeh-Yazdi A, Gupta S, Wolkenhauer O, Yaghmaie M, Resendis-Antonio O, et al. Evolution of centrality measurements for the detection of essential proteins in biological networks. Front Physiol 2016;7:375.
7. Huang DW, Sherman BT, Tan Q, Collins JR, Alvord WG, Roayaei J, et al. The DAVID gene functional classification tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol 2007;8:R183.
8. Kuleshov MV, Jones MR, Rouillard AD, Fernandez NF, Duan Q, Wang Z, et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res 2016;44:W90–W97.
2. Vasita R, Katti DS. Growth factor-delivery systems for tissue engineering: a materials perspective. Expert Rev Med Devices 2006;3:29–47.
3. Beheshtizadeh N, Baradaran-Rafii A, Sistani MS, Azami M. An In-Silico Study on the Most Effective Growth Factors in Retinal Regeneration using Tissue Engineering Concepts. J Ophthalmic Vis Res 2021;16:56-67.
4. Tew KL, Li XL, Tan SH. Functional centrality: detecting lethality of proteins in protein interaction networks. Genome Inform 2007;19:166–177.
5. Mahadevan R, Palsson BO. Properties of metabolic networks: structure versus function. Biophys J 2005;88:L07–L09.
6. Jalili M, Salehzadeh-Yazdi A, Gupta S, Wolkenhauer O, Yaghmaie M, Resendis-Antonio O, et al. Evolution of centrality measurements for the detection of essential proteins in biological networks. Front Physiol 2016;7:375.
7. Huang DW, Sherman BT, Tan Q, Collins JR, Alvord WG, Roayaei J, et al. The DAVID gene functional classification tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol 2007;8:R183.
8. Kuleshov MV, Jones MR, Rouillard AD, Fernandez NF, Duan Q, Wang Z, et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res 2016;44:W90–W97.