Results 221 to 230 of about 8,919,237 (294)
Gridfields: Model-Driven Data Transformation in the Physical Sciences
Bill Howe
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Data security is crucial for Japanese science [PDF]
Eitaka Tsuboi+4 more
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2021 February 08 - Computation and Research in Data Science (CaRD) Minutes [PDF]
Computation and Research in Data Science, East Tennessee State University
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Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
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“Uneasy science”—the pooling of heterogeneous data [PDF]
Eurof Walters
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Clinical significance of stratifying prostate cancer patients through specific circulating genes
We tested a specific panel of genes representative of luminal, neuroendocrine and stem‐like cells in the blood of prostate cancer patients, showing predictive value from diagnosis to late stages of disease. This approach allows monitoring of treatment responses and outcomes at specific time points in trajectories.
Seta Derderian+12 more
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MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin+14 more
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“Uneasy science”—the pooling of heterogeneous data: Reply of the authors (#4): [PDF]
Jean‐Noël Hugues, David W. Warne
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