بدائل البحث:
algorithm catenin » algorithm within (توسيع البحث)
catenin function » catenin functional (توسيع البحث), cohesin function (توسيع البحث), hardening function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ function (توسيع البحث), a function (توسيع البحث), i function (توسيع البحث)
algorithm catenin » algorithm within (توسيع البحث)
catenin function » catenin functional (توسيع البحث), cohesin function (توسيع البحث), hardening function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ function (توسيع البحث), a function (توسيع البحث), i function (توسيع البحث)
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Immune microenvironment (A) Comparison of immune cell infiltration between the high-risk and low-risk groups using the ssGSEA algorithm.
منشور في 2025"…<p>(B) Comparison of immune function between the high-risk and low-risk groups using the ssGSEA algorithm. …"
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Analyses of Immune microenvironment and functions between m7G clusters.
منشور في 2025"…(B) Multi-algorithms suggest that CD8+ T cells were more abundant in m7G cluster B. …"
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A) Probability density of glucuronate-UDP as a function of three collective variables (CVs): the distance between the C6 atom of the sugar and the atom of Lys307, defined as <i>d</i><sub><i>k</i></sub>, and the two angles <i>γ</i> and <i>θ</i> describing the orientation of the sugar ring in a polar coordinate system. B) RMSD of the probability density with respect to the initial state, calculated after 1 ns of simulation. The density of states is complex, and stable populations are observed at the end of the simulation. C) Probability density of glucose-UDP. D) RMSD of the density of states calculated as in B). In this case, convergence is even clearer. The density functions were computed by including all replicas from the Hamiltonian replica exchange simulation, with weights determined using the WHAM algorithm.
منشور في 2025"…The density functions were computed by including all replicas from the Hamiltonian replica exchange simulation, with weights determined using the WHAM algorithm.…"
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GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios
منشور في 2025"…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …"
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