首页|Shanghai Jiao Tong University School of Medicine Reports Findings in Machine Lea rning (Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning Techniques)
Shanghai Jiao Tong University School of Medicine Reports Findings in Machine Lea rning (Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning Techniques)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Shanghai, People's Rep ublic of China, by NewsRx correspondents, research stated, "The study of fetal g ut development is critical due to its substantial influence on immediate neonata l and long-term adult health. Current research largely focuses on microbiome col onization, gut immunity, and barrier function, alongside the impact of external factors on these phenomena." Financial supporters for this research include National Key Research and Develop ment Program of China, Natural Science Foundation of Shandong Province. Our news journalists obtained a quote from the research from the Shanghai Jiao T ong University School of Medicine, "Limited research has been dedicated to the c ategorization of developing fetal gut cells. Our study aimed to enhance our unde rstanding of fetal gut development by employing advanced machine-learning techni ques on single-cell sequencing data. This dataset consisted of 62,849 samples, e ach characterized by 33,694 distinct gene features. Four feature ranking algorit hms were utilized to sort features according to their significance, resulting in four feature lists. Then, these lists were fed into an incremental feature sele ction method to extract essential genes, classification rules, and build efficie nt classifiers. Several important genes were recognized by multiple feature rank ing algorithms, such as FGG, MDK, RBP1, RBP2, IGFBP7, and SPON2. These features were key in differentiating specific developing intestinal cells, including epit helial, immune, mesenchymal, and vasculature cells of the colon, duo jejunum, an d ileum cells."
ShanghaiPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesGeneticsMachine Learning
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