Search alternatives:
tissues detection » missed detection (Expand Search), tissue destruction (Expand Search), virus detection (Expand Search)
multiple tissues » multiple diseases (Expand Search), multiple time (Expand Search), multiple lines (Expand Search)
tissues detection » missed detection (Expand Search), tissue destruction (Expand Search), virus detection (Expand Search)
multiple tissues » multiple diseases (Expand Search), multiple time (Expand Search), multiple lines (Expand Search)
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Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods.
Published 2024“…To address that issue, ensemble algorithms detect cell populations by integrating multiple clustering methods, and minimizing the differences of their predictions. …”
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S1 Graphical abstract -
Published 2025“…The software uses a shape-detection algorithm to single out and track the movement of pillars’ tips for the most common shapes of EHT platforms. …”
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Table 3_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx
Published 2025“…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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Table 1_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.docx
Published 2025“…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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Table 2_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx
Published 2025“…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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Table 4_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx
Published 2025“…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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Cell number of gene cluster.
Published 2024“…Acknowledging that covariates such as age and tissue type can influence differentiation, we created an algorithm to detect differentially expressed genes throughout the differentiation process. …”
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Description of clusters in Differential Altas.
Published 2024“…Acknowledging that covariates such as age and tissue type can influence differentiation, we created an algorithm to detect differentially expressed genes throughout the differentiation process. …”
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Transcription clusters list in Fig 3E.
Published 2024“…Acknowledging that covariates such as age and tissue type can influence differentiation, we created an algorithm to detect differentially expressed genes throughout the differentiation process. …”
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Workflow to extract and define myocardial motion and deformation patterns during early heart morphogenesis.
Published 2025“…By interpolating this mesh with the set of T-transformation, we derived ‘Live-Shape’, a continuous description of heart tissue motion. 2) Integrating Multiple Live Images into the Atlas (red shapes): Individual live image motions were integrated into a high-resolution Atlas. …”
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Discordant Samples in Concordance Study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
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One variant per line data for LoD study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
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One variant per line data for precision study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”