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  1. Whole exome-seq and RNA-seq data reveal unique neoantigen profiles in Kenyan breast cancer patients by Wagutu, G., Gitau, J., Mwangi, Kennedy, Murithi, M., Melly, E., Harris, A.R., Sayed, S., Ambs, S., Makokha, F.

    Published 2024
    “…Among the genes of interest that produced putative neoantigens were <i>MUC17, TTN, MUC16, AKAP9, NEB, RP1L1, CDH23, PCDHB10, BRCA2, TP53, TG,</i> and <i>RB1</i>. …”
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    Journal Article
  2. Impacts of brokerage institutions on the marketing of horticultural crops in Fogera district, Ethiopia by Tamir, S., Getnet, Kindie, Haji, J.

    Published 2013
    “…Logistic regression estimation of Propensity Score Matching model revealed that age, education level, distance of residence from development agent office, distance of residence from Woreta market, distance of residence from main asphalt road, access to cell phone (mobile phone) and number of regular wholesaler customers significantly affected the participation decisions of the smallholders in the brokerage institutions services. Kernel Matching with band width of 0.25 was found to be the best matching algorithm. …”
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    Book Chapter

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