بدائل البحث:
algorithm python » algorithms within (توسيع البحث)
within function » fibrin function (توسيع البحث), python function (توسيع البحث), protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
algorithm python » algorithms within (توسيع البحث)
within function » fibrin function (توسيع البحث), python function (توسيع البحث), protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
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621
Image 2_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif
منشور في 2025"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"
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622
Table 5_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
منشور في 2025"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"
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623
Image 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif
منشور في 2025"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"
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624
Table 2_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
منشور في 2025"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"
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625
Table 6_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
منشور في 2025"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"
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626
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627
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. …"
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628
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. …"
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629
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. …"
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630
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631
The organizational flow of the study.
منشور في 2025"…Participants identified design elements that were both facilitators and barriers to use. Usability scores for both prototypes were excellent. …"
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632
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.…"
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633
Data Sheet 4_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Furthermore, the expression levels of these four genes were significantly altered in both independent validation datasets and in established oxaliplatin-resistant cell lines. …"
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634
Data Sheet 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Furthermore, the expression levels of these four genes were significantly altered in both independent validation datasets and in established oxaliplatin-resistant cell lines. …"
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635
Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx
منشور في 2025"…Furthermore, the expression levels of these four genes were significantly altered in both independent validation datasets and in established oxaliplatin-resistant cell lines. …"
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636
Data Sheet 2_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Furthermore, the expression levels of these four genes were significantly altered in both independent validation datasets and in established oxaliplatin-resistant cell lines. …"
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637
Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Furthermore, the expression levels of these four genes were significantly altered in both independent validation datasets and in established oxaliplatin-resistant cell lines. …"
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638
Data Sheet 3_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Furthermore, the expression levels of these four genes were significantly altered in both independent validation datasets and in established oxaliplatin-resistant cell lines. …"
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639
Bayesian Clustering via Fusing of Localized Densities
منشور في 2024"…The data are then clustered by minimizing the expectation of a clustering loss function that favors similarity to the component labels. …"
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640
Descriptions of parameters and symbols (<i>t</i> = 1,2).
منشور في 2025"…By utilizing Copula functions to model the complex relationship between fluctuating prices and uncertain demand, the study develops both continuous and discrete decision models for practical applications. …"