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gene_networks_inference [2018/12/14 15:29] – [Data] admingene_networks_inference [2018/12/14 15:32] – [Papers] admin
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 ===== Papers ===== ===== Papers =====
  
-  - A. Zainulabadeen et al., Underexpression of Specific Interferon Genes Is Associated with Poor Prognosis of Melanoma, [[http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170025|PLoS One]] 2017, 12(1).\\  "Using our recently developed gene network model, we identified biological signatures that confidently predict the prognosis of melanoma. We showed that our predictive model assesses the risk more accurately than the traditional Clark staging method." +  - A. Zainulabadeen et al., Underexpression of Specific Interferon Genes Is Associated with Poor Prognosis of Melanoma, [[http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170025|PLoS One]] 2017, 12(1). \\  "Using our recently developed gene network model, we identified biological signatures that confidently predict the prognosis of melanoma. We showed that our predictive model assesses the risk more accurately than the traditional Clark staging method." 
-  - Foroushani, Amir, et al. "Large-scale gene network analysis reveals the significance of extracellular matrix pathway and homeobox genes in acute myeloid leukemia: an introduction to the Pigengene package and its applications." [[https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-017-0253-6|BMC medical genomics]] 10.1 (2017): 16.\\ \\  +  - Foroushani, Amir, et al. "Large-scale gene network analysis reveals the significance of extracellular matrix pathway and homeobox genes in acute myeloid leukemia: an introduction to the Pigengene package and its applications." [[https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-017-0253-6|BMC medical genomics]] 10.1 (2017): 16.​​ 
-=====   =====+  - Agrahari, Rupesh, et al. "Applications of Bayesian network models in predicting types of hematological malignancies." [[https://www.nature.com/articles/s41598-018-24758-5|Scientific Reports]] 8.1 (2018): 6951.