Results 181 to 190 of about 99,558 (321)
Estimates of covariance matrix of U-statistic and confidence intervals for Kendall tau [PDF]
František Rublík
openalex +1 more source
Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias+12 more
wiley +1 more source
Some Simple U-Statistic Tests for Uniformity on Certain Homogeneous Spaces
Owen Chan, Daniel Q. Naiman
openalex +1 more source
Design of U-Geometry Parameters Using Statistical Analysis Techniques in the U-Bending Process [PDF]
Wiriyakorn Phanitwong+2 more
openalex +1 more source
EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche+8 more
wiley +1 more source
Studentized Processes of U-statistics
A uniform in probability approximation is established for Studentized processes of non degenerate U-statistics of order m greater or equal to 2 in terms of a standard Wiener process. The classical condition that the second moment of kernel of the underlying U-statistic exists is relaxed to having 5/3 moments. Furthermore, the conditional expectation of
openaire +2 more sources
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul+11 more
wiley +1 more source