Results 131 to 140 of about 651,257 (303)
Large Deviations for the Reliability Assessment of Redundant Multi-Channel Systems [PDF]
Getachew K. Befekadu, Panos J. Antsaklis
openalex +1 more source
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
From Large Deviations to Semidistances of Transport and Mixing: Coherence Analysis for Finite Lagrangian Data. [PDF]
Koltai P, Renger DRM.
europepmc +1 more source
Large deviations for neutral stochastic functional differential equations [PDF]
Yongqiang Suo, Chenggui Yuan
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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
Lower Current Large Deviations for Zero-Range Processes on a Ring. [PDF]
Chleboun P +2 more
europepmc +1 more source
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
Large deviations for nonlocal stochastic neural fields. [PDF]
Kuehn C, Riedler MG.
europepmc +1 more source
From Rates of mixing to recurrence times via large deviations
José F. Alves +3 more
openalex +1 more source
Large deviations for random matrix ensembles in mesoscopic physics [PDF]
Peter Eichelsbacher, Michael Stolz
openalex +1 more source

