بدائل البحث:
algorithm python » algorithms within (توسيع البحث), algorithm both (توسيع البحث)
within function » fibrin function (توسيع البحث), protein function (توسيع البحث), catenin function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm fc » algorithm etc (توسيع البحث), algorithm pca (توسيع البحث), algorithms mc (توسيع البحث)
fc function » spc function (توسيع البحث), _ function (توسيع البحث), a function (توسيع البحث)
algorithm python » algorithms within (توسيع البحث), algorithm both (توسيع البحث)
within function » fibrin function (توسيع البحث), protein function (توسيع البحث), catenin function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm fc » algorithm etc (توسيع البحث), algorithm pca (توسيع البحث), algorithms mc (توسيع البحث)
fc function » spc function (توسيع البحث), _ function (توسيع البحث), a function (توسيع البحث)
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VEP annotation of the aSNPs listed in S1 Table.
منشور في 2025"…<div><p>G-quadruplexes (G4s) are nucleic acid secondary structures with important regulatory functions. Single-nucleotide variants (SNVs), one of the most common forms of genetic variation, can potentially impact the formation of G4 structures if they occur within G4 regions. …"
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265
G4SNVHunter workflow for identifying variants that affect G4 formation.
منشور في 2025"…Subsequently, the impact of the variants on the formation potential of the identified G4s will be assessed based on the G4Hunter algorithm (Middle panel). Finally, candidate variants can be filtered and visualized using functions provided by G4SNVHunter to screen out those that can potentially disrupt the formation of G4 structures (Right panel). …"
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266
S1 Dataset -
منشور في 2024"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"
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267
Statistical tests of ACC on the random network.
منشور في 2024"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"
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268
Parameters in the experiment.
منشور في 2024"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"
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269
Statistical tests of APL on the random network.
منشور في 2024"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"
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270
Statistical tests of ACC on the regular network.
منشور في 2024"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"
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271
Statistical tests of APL on the regular network.
منشور في 2024"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"
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272
Table 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.xlsx
منشور في 2025"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"
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273
Image 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff
منشور في 2025"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"
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Image 4_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff
منشور في 2025"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"
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275
Image 5_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff
منشور في 2025"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"
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276
Image 3_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff
منشور في 2025"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"
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277
Image 2_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff
منشور في 2025"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"
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278
Longitudinal trajectories of functional network development across the birth transition.
منشور في 2024"…<p><b> </b> (A) One-sample <i>t</i> test on RSFC across all subjects. Stronger RSFC within networks affirms validity of the network clustering algorithm. …"
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