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8.
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Zinati, Z;nazari, l.;Niazi, A
2024. Uncovering waterlogging-responsive genes in cucumber through machine learning and differential gene correlation analysis. Botanical Studies، 65(1)، 1-17
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9.
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Manouchehri, L;Zinati, Z;nazari, l.
2024. Population-Specific gene expression profiles in prostate cancer: insights from Weighted Gene Co-expression Network Analysis (WGCNA). World Journal of Surgical Oncology، 22(1)، 1-13
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10.
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nazari, l.;Zinati Z.;Bagnaresi P.
2024. Identification of biomarker genes from multiple studies for abiotic stress in maize through machine learning. journal of biosciences، 49(1)، 1-15
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11.
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Zinati, Z;Farahbakhsh, F.;nazari, l.;Grana, VMR
2024. Revealing grapevine (Vitis vinifera L.) defense mechanisms against biotic stress: insights from transcriptomic analysis and systems biology. Genetic Resources and Crop Evolution، 71(1)، 3851-3879
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12.
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nazari, l.;Zinati Z.
2023. Transcriptional survey of abiotic stress response in maize (Zea mays) in the level of gene co-expression network and differential gene correlation analysis. AoB PLANTS، 16(1)، 1-16
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13.
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nazari, l.;Aslan, MF;Sabanci, K;Ropelewska, E
2023. Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress. scientific reports ، 13(1)، 1-12
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14.
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nazari, l.;Ghotbi, V.;Nadimi M.;Paliwal J.
2023. A Novel Machine-Learning Approach to Predict Stress-Responsive Genes in Arabidopsis. algorithms، 16(9)، 1-14
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15.
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Zinati, Z;nazari, l.
2023. Deciphering the molecular basis of abiotic stress response in cucumber (Cucumis sativus L.) using RNA-Seq meta-analysis, systems biology, and machine learning approaches. Scientific Reports، 13(1)، 1-14
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16.
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nazari, l.;Zinati Z.
2023. Gene Expression Classification for Biomarker Identification in Maize Subjected to Various Biotic Stresses. IEEE/ACM Transactions on Computational Biology and Bioinformatics، 20(3)، 2170-2176
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17.
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Khazaei, A.;Golzardi, F.;Ghasemi, A.;tabatabaei, s.;nazari, l.;shahverdi, m.;MOKHTARPOUR, H.;Shariati, A.
2022. Performance and stability analysis of forage sorghum [Sorghum bicolor (L.) Moench] genotypes targeted to arid and semi‑arid environments. Cereal Research Communications، 51(3)، 729-736
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18.
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Khazaei, A.;Golzardi, F.;Torabi, M.;Feyzbakhsh, M.;Azarinasrabad , A.;nazari, l.;Ghasemi, A.;mottaghi, m.
2022. GGE biplot vs. AMMI analysis of promising sorghum lines in the warm-temperate regions of Iran. Journal of Crop Improvement، 37(4)، 506-522
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19.
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nazari, l.;Khazaei, A.;Ropelewska E.
2022. Prediction of tannin, protein, and total phenolic content of grain sorghum using image analysis and machine learning. Cereal Chemistry، 99(4)، 843-849
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20.
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nazari, l.;dehghanian, s.;Estakhr, A.;Khazaei, A.;Sorkhilalehloo, B.;ABBASI, M.
2021. Introduction of the best criterion for evaluation of tolerance to drought stress in sorghum’s genotypes. Acta agriculturae Slovenica، 117(4)، 1-13
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21.
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Ropelewska, E;nazari, l.
2021. The effect of drought stress of sorghum grains on the textural features evaluated using machine learning. European Food Research and Technology، 247(11)، 2787-2798
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22.
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Mosavi,S. M. ;Bijanzadeh, E. ;Zinati, Z.;nazari, l.
2021. Seed germination prediction of osmotic-stressed safflower (Carthamus tinctorius L.) at different temperatures using hydrotime analysis. Iran Agricultural Research، 40(1)، 83-92
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23.
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nazari, l.;Shaker, M.;KARIMI, A.;Ropelewska. E
2021. Identification of sorghum genotypes using a machine vision system. journal of food process engineering، 44(5)، 1-11
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24.
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nazari, l.;Shaker, M.;KARIMI, A.;Ropelewska, E
2020. Correlations between the textural features and chemical properties of sorghum grain using the image processing method. European Food Research and Technology، 247(2)، 333-342
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25.
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nazari, l.;Pattori, E.;Somma, S.;Manstretta, V.;Waalwijk, C.;Moretti, A.;Meca, G.;Rossi, V.
2019. Infection incidence, kernel colonisation, and mycotoxin accumulation in durum wheat inoculated with Fusarium sporotrichioides, F. langsethiae or F. poae at different growth stages. European Journal of Plant Pathology volume ، 153(3)، 715-729
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26.
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nazari, l.;Pattori, E.;Manstretta, V.;Terzi, V.;Morcia, C.;Somma, S.;Moretti, A.;Ritieni, A.;Rossi, V.
2018. Effect of temperature on growth, wheat head infection, and nivalenol production by Fusarium poae. Food Microbiology، 76(76)، 83-90
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27.
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Rahimi, M.;nazari, l.;Kordrostami, M.;Safari, P.
2018. SCoT marker diversity among Iranian Plantago ecotypes and their possible association with agronomic traits. Scientia Horticulturae، 233(233)، 302-309
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28.
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Zinati, Z.;nazari, l.;Bagnaresi, P.;Ravash, R.
2017. In silico identification of transcription factors associated with the biosynthesis of carotenoids in corn (Zea mays l.). BioTechnologia، 98(1)، 41-51
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29.
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nazari, l.;Manstretta, V.;Rossi, V.
2016. A non-linear model for temperature-dependent sporulation and T-2 and HT-2 production of Fusarium langsethiae and Fusarium sporotrichioides. Fangal biology، 120(4)، 562-571
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30.
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nazari, l.;Pattori, E.;Terzi, V.;Morcia, C.;Rossi, V.
2014. Influence of temperature on infection, growth, and mycotoxin production by Fusarium langsethiae and F. sporotrichioides in durum wheat. Food Microbiology، 39(39)، 19-26
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31.
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nazari, l.;Pakniyat, H.
2008. Genetic diversity of wild and cultivated barley genotypes under drought stress using RAPD markers. BIOTECHNOLOGY، 7(4)، 745-750
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