Results 121 to 130 of about 26,321,511 (299)

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

Special Issue Introduction: Teaching the General Linear Model

Journal of Methods and Measurement in the Social Sciences, 2015
Rafael Antonio Garcia, Melinda F Davis
doaj   +1 more source

Introducing the indirect addilog system in a computable general equilibrium model: a case study for Palestine [PDF]

A popular functional form for modeling the consumption block of a computable general equilibrium model (CGE) is the Linear Expenditure System (LES) for which the Engel curves are straight lines.
Missaglia, M., Boer, P.M.C. de
core  

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Improved Estimation in Linear Dynamic Regression Model

, 2005
This paper studies the preliminary test and shrinkage estimators of linear state space regression model via Kalman filtering. The performance of the estimators, with respect to mean square error, has been investigated.
Hoque, Zahirul, Gerlach, Richard
core   +1 more source

Postharvest Disease Control Experiments: Challenges on Statistical Methodologies

Horticulturae
In postharvest disease (PHD) control experiments, treatments with the same observed values for all their replicates are frequently present, which leads to one or more treatments with zero observed variance—this type of data are referred to as data with ...
Aline de Holanda Nunes Maia, Adriane Maria da Silva, Itala Suzana Oliveira Silva, Daniel Terao   +3 more
doaj   +1 more source

Targeting transcription factors associated with hemoglobinopathies: Lessons from successful interventions and implications for cancer

Molecular Oncology, EarlyView.
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu, Puspa Das, Xing Zhang, Xiaodong Cheng   +3 more
wiley   +1 more source

Towards understanding the antagonistic activity of phytic acid against common foodborne bacterial pathogens using a general linear model. [PDF]

PLoS One, 2020
Boukhris I, Smaoui S, Ennouri K, Morjene N, Farhat-Khemakhem A, Blibech M, Alghamdi OA, Chouayekh H.   +7 more
europepmc   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Generalized linear models

, 2015
AbstractGeneralized Linear Modeling (GLM) unifies several statistical techniques, providing a stable and modular foundation on which to build a useful working knowledge of statistical modeling. GLMs enable a re-interpretation of previously learned ANOVA and regression techniques and integrate well with more advanced modeling techniques introduced in ...
openaire   +5 more sources