Results 111 to 120 of about 100,609 (297)
Weighted approximations for Studentized $U$-statistics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
U-Statistics for Change under Alternatives
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bounds on the Variance of the U-Statistic for Symmetric Distributions with Shift Alternatives [PDF]
Bruce McK. Johnson
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USP: U-Statistic Permutation Tests of Independence for all Data Types [PDF]
Thomas B. Berrett
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U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments [PDF]
Meijia Shao, Dong Xia, Yuan Zhang
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Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source

