Results 131 to 140 of about 2,034,768 (362)
Molecular Oncology, EarlyView.This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source
A Note on Spatial-Temporal Lattice Modeling and Maximum Likelihood Estimation [PDF]
arXiv, 2012 Spatial-temporal linear model and the corresponding likelihood-based statistical inference are important tools for the analysis of spatial-temporal lattice data. In this paper, we study the asymptotic properties of maximum likelihood estimates under a general asymptotic framework for spatial-temporal linear models. We propose mild regularity conditions
arxiv
Note on Koshal's Method of Improving the Parameters of Curves by the Use of the Method of Maximum Likelihood [PDF]
, 1934 R. J. Myers
openalex +1 more source
Molecular Oncology, EarlyView.In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton +17 more
wiley +1 more source
A Comparison Between Estimating The Parameters of The Gaussian Process Regression Model Using The Maximum Likelihood and The Restricted Maximum Likelihood Methods [PDF]
مجلة التربية والعلمGaussian process regression models are used as statistical representations of computational models, due to their flexibility in capturing the shape of smooth functions.
Amena ilyas, Younus Al-Taweel
doaj +1 more source
Maximum Likelihood for Matrices with Rank Constraints [PDF]
arXiv, 2012 Maximum likelihood estimation is a fundamental optimization problem in statistics. We study this problem on manifolds of matrices with bounded rank. These represent mixtures of distributions of two independent discrete random variables. We determine the maximum likelihood degree for a range of determinantal varieties, and we apply numerical algebraic ...
arxiv
Molecular Oncology, EarlyView.Trastuzumab‐deruxtecan, a HER2‐targeting antibody‐drug conjugate, shows promising antitumor activity in head and neck squamous cell carcinoma with low HER2 expression. In vitro and in vivo studies demonstrated dose‐dependent cell death and tumor growth reduction in low HER2‐expressing cell lines, which correlated with drug accumulation measured using a
Abdullah Bin Naveed +8 more
wiley +1 more source
Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models [PDF]
arXiv, 2018 The restricted maximum likelihood method enhances popularity of maximum likelihood methods for variance component analysis on large scale unbalanced data. As the high throughput biological data sets and the emerged science on uncertainty quantification, such a method receives increasing attention.
arxiv
Maximum Likelihood Estimation for Distributions with Monotone Failure Rate [PDF]
, 1965 Albert W. Marshall, Frank Proschan
openalex +1 more source