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)
algorithms mc » algorithms hamc (توسيع البحث), algorithms _ (توسيع البحث), algorithms a (توسيع البحث)
mc function » fc function (توسيع البحث), spc function (توسيع البحث), npc 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)
algorithms mc » algorithms hamc (توسيع البحث), algorithms _ (توسيع البحث), algorithms a (توسيع البحث)
mc function » fc function (توسيع البحث), spc function (توسيع البحث), npc function (توسيع البحث)
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301
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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302
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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303
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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304
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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305
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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306
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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307
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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308
code from Skelly, Graham, et al. "Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans."
منشور في 2025"…Functional blockade of two top candidate immune targets, GM-CSF and IL-2RB, completely abrogated the MC38 tumor transcriptional response to aPD1 therapy. …"
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309
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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310
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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311
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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312
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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313
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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314
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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315
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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316
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317
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318
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319
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320
Calculation FFR, IMR and CFR.
منشور في 2025"…The index of microvascular resistance (IMR) is a specific physiological parameter used to assess microvascular function. Invasive coronary assessment has been shown to be both feasible and safe. …"