بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
key functional » _ functional (توسيع البحث), a functional (توسيع البحث), based functional (توسيع البحث)
flow function » from function (توسيع البحث), low functional (توسيع البحث), loss function (توسيع البحث)
algorithm key » algorithm seu (توسيع البحث), algorithm used (توسيع البحث), algorithm _ (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
key functional » _ functional (توسيع البحث), a functional (توسيع البحث), based functional (توسيع البحث)
flow function » from function (توسيع البحث), low functional (توسيع البحث), loss function (توسيع البحث)
algorithm key » algorithm seu (توسيع البحث), algorithm used (توسيع البحث), algorithm _ (توسيع البحث)
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Flow chart of the experimental procedure.
منشور في 2025"…Through Least Absolute Shrinkage and Selection Operator (LASSO) and Support Vector Machine (SVM) machine learning algorithms, six key hub genes were identified: hepatocyte growth factor (<i>HGF</i>), matrix metalloproteinase 13 (<i>MMP13</i>), c-abl oncogene 1, non-receptor tyrosine kinase (<i>ABL1</i>), elastase neutrophil expressed (<i>ELANE</i>), fatty acid synthase (<i>FASN</i>), and long non-coding RNA (<i>Linc00324</i>). …"
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Full flow of scRNA-seq data analysis.
منشور في 2024"…Here, we compare 6 performance metrics on both simulated and real scRNA-seq datasets to assess the adaptability of 8 DEA approaches, with a particular emphasis on how well they function under small biological replications. Our findings suggest that DEA algorithms extended from bulk RNA-seq are still competitive under small biological replicate conditions, whereas the newly developed method DEF-scRNA-seq which is based on information entropy offers significant advantages. …"
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