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Waite Research Institute, School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia; Joint International Research Laboratory of Metabolic & Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Plant inflorescences are complex, highly diverse structures whose morphology is determined in meristems that form during reproductive development. Inflorescence structure influences flower formation, and consequently grain number, and yield in crops. Correct inflorescence and flower development require tight control of gene expression via complex interplay between regulatory networks.
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Department of Molecular Biology and Biochemistry, Guru Nanak Dev University, Amritsar, Punjab, 143 005, India.
Development of machine learning models for diagnostic biomarker identification and immune cell infiltration analysis in PCOS.
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Reproductive Medicine Center, Department of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by symptoms such as hyperandrogenemia, oligo or anovulation and polycystic ovarian, significantly impacting quality of life. However, the practical implementation of machine learning (ML) in PCOS diagnosis is hindered by the limitations related to data size and algorithmic models.
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