Results 71 to 80 of about 385,160 (293)
Estimating the false discovery rate using the stochastic approximation algorithm [PDF]
, 2008 Testing of multiple hypotheses involves statistics that are strongly dependent in some applications, but most work on this subject is based on the assumption of independence.
Jian Zhang +3 more
core +1 more source
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Mathematics, 2020 Problems with analyzing and processing high-dimensional random vectors arise in a wide variety of areas. Important practical tasks are economical representation, searching for significant features, and removal of insignificant (noise) features.
Sofia Palionnaya, Oleg Shestakov
doaj +1 more source
On Online Control of False Discovery Rate
CoRR, 2015 31 pages, 6 figures (minor edits)
Adel Javanmard, Andrea Montanari
openaire +2 more sources
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Correcting false discovery rates for their bias toward false positives [PDF]
Communications in Statistics - Simulation and Computation, 2019 The way false discovery rates (FDRs) are used in the analysis of genomics data leads to excessive false positive rates.
David R. Bickel, Abbas Rahal
openaire +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
A constrained polynomial regression procedure for estimating the local False Discovery Rate
BMC Bioinformatics, 2007 Background In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (lFDR), which quantifies the evidence of a specific gene association with a clinical or ...
Broët Philippe +2 more
doaj +1 more source
False Discovery Rate-Adjusted Q-Values.
, 2015 Notes: False discovery rate-adjusted q-values for individual process scores within the maternal care domain account for increased false discovery rates due to the 8 outcomes tested within the overall maternal care score (considering phase I and phase II ...
Claire Watt (716997) +5 more
core +1 more source
Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source