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Paper Details

A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia.
J Biol Res (Thessalon)
9
2019
-, APCDD1, APP, Alopecia, BMP, EDA, ESRI, GPRC5B, HBB, KRT35, LMCD1, LYZ, NOTCH, Nf-kappa B, PHF15, PTPRE, SHH, SPON1, TGFB1, VAV3, WIF1, WNT, WNT1, WNT3A, ZFP36L2, alopecia, catenin, differentially expressed genes, hair follicle, hair loss, men, of, retinoic acid, women
Author NameAffiliation
Syed Aun Muhammad1Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University
Syed Aun Muhammad1Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University
Nighat Fatima2Department of Pharmacy, COMSATS Institute of Information Technology
Nighat Fatima2Department of Pharmacy, COMSATS Institute of Information Technology
Rehan Zafar Paracha3Research Center of Modeling and Simulation (RCMS), National University of Sciences and Technology (NUST)
Rehan Zafar Paracha3Research Center of Modeling and Simulation (RCMS), National University of Sciences and Technology (NUST)
Amjad AliNational University of Sciences and Technology (NUST)
Amjad AliNational University of Sciences and Technology (NUST)
Jake Y. Chen (CM4AI)5Informatics Institute, The University of Alabama (UAB)
Jake Y Chen5Informatics Institute, The University of Alabama (UAB)
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