FeatureSelect: a software for feature selection based on machine learning approaches von Masoudi-Sobhanzadeh, Yosef, Motieghader, Habib, Masoudi-Nejad, Ali

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DeepCDA: deep cross-domain compound–protein affinity prediction through LSTM and convolutional neural networks von Abbasi, Karim, Razzaghi, Parvin, Poso, Antti, Amanlou, Massoud, Ghasemi, Jahan B, Masoudi-Nejad, Ali

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Using three-dimensional finite element analysis for simulation of residual stresses in railway wheels von Masoudi Nejad, Reza

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Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm von Masoudi-Sobhanzadeh, Yosef, Masoudi-Nejad, Ali

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Mechanical, fracture, and environmental performance of greener polymer composites containing low to high micro fillers with recycled and byproduct origins von Khedri, Ehsan, Karimi, Hamid Reza, Mohamadi, Razie, Aliha, M.R.M., Masoudi Nejad, Reza

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Trader as a new optimization algorithm predicts drug-target interactions efficiently von Masoudi-Sobhanzadeh, Yosef, Omidi, Yadollah, Amanlou, Massoud, Masoudi-Nejad, Ali

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Numerical study on rolling contact fatigue in rail steel under the influence of periodic overload von Masoudi Nejad, Reza

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The effects of periodic overloads on fatigue crack growth in a pearlitic Grade 900A steel used in railway applications von Masoudi Nejad, Reza

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A machine learning method based on the genetic and world competitive contests algorithms for selecting genes or features in biological applications von Masoudi-Sobhanzadeh, Yosef, Motieghader, Habib, Omidi, Yadollah, Masoudi-Nejad, Ali

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Detection of novel biomarkers for early detection of Non-Muscle-Invasive Bladder Cancer using Competing Endogenous RNA network analysis von Kouhsar, Morteza, Azimzadeh Jamalkandi, Sadegh, Moeini, Ali, Masoudi-Nejad, Ali

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DrugR+: A comprehensive relational database for drug repurposing, combination therapy, and replacement therapy von Masoudi-Sobhanzadeh, Yosef, Omidi, Yadollah, Amanlou, Massoud, Masoudi-Nejad, Ali

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Experimental and numerical investigation of fatigue crack growth behavior and optimizing fatigue life of riveted joints in Al-alloy 2024 plates von Masoudi Nejad, Reza, Tohidi, Mohammadreza, Darbandi, Ahmad Jalayerian, Saber, Amin, Shariati, Mahmoud

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Effect of wear on rolling contact fatigue crack growth in rails von Masoudi Nejad, Reza, Shariati, Mahmoud, Farhangdoost, Khalil

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A multimodal deep learning-based drug repurposing approach for treatment of COVID-19 von Hooshmand, Seyed Aghil, Zarei Ghobadi, Mohadeseh, Hooshmand, Seyyed Emad, Azimzadeh Jamalkandi, Sadegh, Alavi, Seyed Mehdi, Masoudi-Nejad, Ali

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Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data von Wang, Edwin, Zaman, Naif, Mcgee, Shauna, Milanese, Jean-Sébastien, Masoudi-Nejad, Ali, O’Connor-McCourt, Maureen

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Identification of new genes and quantitative trait locis associated with growth curve parameters in F2 chicken population using genome‐wide association study von Seifi Moroudi, R., Ansari Mahyari, S., Vaez Torshizi, R., Lanjanian, H., Masoudi‐Nejad, A.

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Fatigue fracture and fatigue life assessment of railway wheel using non‐linear model for fatigue crack growth von Masoudi Nejad, Reza, Berto, Filippo

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Reliability analysis of fatigue crack growth for rail steel under variable amplitude service loading conditions and wear von Nejad, Reza Masoudi, Liu, Zhiliang, Ma, Wenchen, Berto, Filippo

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Analysis of fatigue crack growth under mixed-mode loading conditions for a pearlitic Grade 900A steel used in railway applications von Masoudi Nejad, Reza, Liu, Zhiliang

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Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis von Maghsoudloo, Mazaher, Azimzadeh Jamalkandi, Sadegh, Najafi, Ali, Masoudi-Nejad, Ali

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