Results 71 to 80 of about 967,632 (327)
Bayesian inference on the sphere beyond statistical isotropy
, 2015 We present a general method for Bayesian inference of the underlying covariance structure of random fields on a sphere. We employ the Bipolar Spherical Harmonic (BipoSH) representation of general covariance structure on the sphere.
Das, Santanu +2 more
core +2 more sources
Statistical Inferences for Price Staleness [PDF]
SSRN Electronic Journal, 2018 This paper proposes a nonparametric theory for statistical inferences on zero returns of high-frequency asset prices. Using an infill asymptotic design, we derive limit theorems for the percentage of zero returns observed on a finite time interval and for other related quantities. Within this framework, we develop two nonparametric tests.
Kolokolov A., Livieri G., Pirino D.
openaire +9 more sources
Molecular Oncology, EarlyView.Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi +12 more
wiley +1 more source
The renormalization group via statistical inference
New Journal of Physics, 2015 In physics, one attempts to infer the rules governing a system given only the results of imperfect measurements. Hence, microscopic theories may be effectively indistinguishable experimentally.
Cédric Bény, Tobias J Osborne
doaj +1 more source
Targeting of PTP4A3 overexpression sensitises HGSOC cells towards chemotherapeutic drugs
Molecular Oncology, EarlyView.In HGSOC with normal KRAS expression, high PTP4A3 expression regulates autophagy activation. Conversely, in HGSOC with high KRAS expression, KRAS dictates autophagy control, and PTP4A3 is not required. When high PTP4A3 expression is inhibited, HGSOC cells are preferentially sensitised towards DNA‐damaging agents.
Ana López‐Garza +3 more
wiley +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.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
Statistical inference for partial differential equations*
ESAIM: Proceedings and Surveys, 2014 Many physical phenomena are modeled by parametrized PDEs. The poor knowledge on the involved parameters is often one of the numerous sources of uncertainties on these models.
Grenier Emmanuel +6 more
doaj +1 more source
Statistical Inference on the Canadian Middle Class
Econometrics, 2018 Conventional wisdom says that the middle classes in many developed countries have recently suffered losses, in terms of both the share of the total population belonging to the middle class, and also their share in total income.
Russell Davidson
doaj +1 more source
A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer
Molecular Oncology, EarlyView.Gene expression meta‐analysis in multiple prostate cancer patient cohorts identifies Transcription factor 19 (TCF19) as an aggressiveness‐sustaining gene with prognostic potential. TCF19 is a gene repressed by androgen signaling that sustains core cancer‐related processes such as vascular permeability or tumor growth and metastasis.
Amaia Ercilla +15 more
wiley +1 more source