بدائل البحث:
algorithms within » algorithm within (توسيع البحث)
algorithm python » algorithm 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 b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ function (توسيع البحث), a function (توسيع البحث), i function (توسيع البحث)
algorithms within » algorithm within (توسيع البحث)
algorithm python » algorithm 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 b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ function (توسيع البحث), a function (توسيع البحث), i function (توسيع البحث)
-
941
Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx
منشور في 2025"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. Functional enrichment analyses delineated the dysregulation of pathways, while weighted gene co-expression network analysis identified hub genes within ribosome biogenesis-associated modules. …"
-
942
Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx
منشور في 2025"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. Functional enrichment analyses delineated the dysregulation of pathways, while weighted gene co-expression network analysis identified hub genes within ribosome biogenesis-associated modules. …"
-
943
Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx
منشور في 2025"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. Functional enrichment analyses delineated the dysregulation of pathways, while weighted gene co-expression network analysis identified hub genes within ribosome biogenesis-associated modules. …"
-
944
Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx
منشور في 2025"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. Functional enrichment analyses delineated the dysregulation of pathways, while weighted gene co-expression network analysis identified hub genes within ribosome biogenesis-associated modules. …"
-
945
-
946
Video 1_Development and control of a robotic assistant walking aid for fall risk reduction.mp4
منشور في 2025"…To enable effective and reliable control in the real system, actuator dynamics are characterized through an optimization-based system identification approach, resulting in transfer function models with over 98% accuracy. Based on these models, PID controllers are optimally tuned using an optimization algorithm to ensure fast and accurate corrective action. …"
-
947
Antivirus Engines (PowerPoint)
منشور في 2025"…Materialul combină fundamente teoretice cu exemple aplicate, prezentând modele, algoritmi și structuri de date utilizate în detecția amenințărilor informatice, oferind o imagine completă asupra modului în care soluțiile antivirus sunt concepute și implementate în practică.</p><p dir="ltr"><b>References</b></p><p dir="ltr">Paul A. Gagniuc.…"
-
948
Table 1_Integrating GWAS and machine learning for disease risk prediction in the Taiwanese Hakka population.xlsx
منشور في 2025"…Incorporating feature-selected SNPs markedly improved performance: the Random Forest model achieved accuracies above 88% in cross-validation and above 85% in external validation, confirmed by 1,000× bootstrap resampling. eQTL analysis identified functional associations such as rs12121653-KDM5B and rs12121653-MGAT4EP, implicating pathways involved in metabolic and mitochondrial regulation.…"
-
949
Supplementary file 1_Integrating GWAS and machine learning for disease risk prediction in the Taiwanese Hakka population.docx
منشور في 2025"…Incorporating feature-selected SNPs markedly improved performance: the Random Forest model achieved accuracies above 88% in cross-validation and above 85% in external validation, confirmed by 1,000× bootstrap resampling. eQTL analysis identified functional associations such as rs12121653-KDM5B and rs12121653-MGAT4EP, implicating pathways involved in metabolic and mitochondrial regulation.…"
-
950
Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies
منشور في 2025"…By combining high-throughput synthesis of selenopolypeptide derivatives with algorithm-assisted optimization, we rapidly identified SpAbs targeting human interferon-α (IFN) and tumor necrosis factor-α (TNF-α) within 2 weeks. …"
-
951
Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies
منشور في 2025"…By combining high-throughput synthesis of selenopolypeptide derivatives with algorithm-assisted optimization, we rapidly identified SpAbs targeting human interferon-α (IFN) and tumor necrosis factor-α (TNF-α) within 2 weeks. …"
-
952
Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies
منشور في 2025"…By combining high-throughput synthesis of selenopolypeptide derivatives with algorithm-assisted optimization, we rapidly identified SpAbs targeting human interferon-α (IFN) and tumor necrosis factor-α (TNF-α) within 2 weeks. …"
-
953
Gene expression omnibus datasets.
منشور في 2024"…Hub gene expression was verified, and survival analysis was performed using Kaplan–Meier curves. <b>Results:</b> IRI and TCMR shared 84 genes. Functional enrichment analysis revealed that inflammation played a significant role. …"
-
954
Image 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.jpeg
منشور في 2025"…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …"
-
955
Table 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.docx
منشور في 2025"…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …"
-
956
RT-Sort parameters.
منشور في 2024"…However, until now, spike sorting can only be performed after completion of the recording, preventing true real time usage of spike sorting algorithms. Utilizing the unique propagation patterns of action potentials along axons detected as high-fidelity sequential activations on adjacent electrodes, together with a convolutional neural network-based spike detection algorithm, we introduce RT-Sort (Real Time Sorting), a spike sorting algorithm that enables the sorted detection of action potentials within 7.5ms±1.5ms (mean±STD) after the waveform trough while the recording remains ongoing. …"
-
957
-
958
-
959
-
960