Results 111 to 120 of about 2,076,709 (312)

patter: Particle algorithms for animal tracking in R and Julia

open access: yesMethods in Ecology and Evolution
State‐space models are a powerful modelling framework in movement ecology that represents individual movements and the processes connecting movements to observations.
Edward Lavender   +7 more
doaj   +1 more source

The VGAM Package for Categorical Data Analysis [PDF]

open access: yes
Classical categorical regression models such as the multinomial logit and proportional odds models are shown to be readily handled by the vector generalized linear and additive model (VGLM/VGAM) framework. Additionally, there are natural extensions, such
Thomas W. Yee
core  

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach   +9 more
wiley   +1 more source

Design and Aesthetics on Organic Cosmetics Market Case Study: Face Creams [PDF]

open access: yesOvidius University Annals: Economic Sciences Series, 2016
Organic market in Romania is relatively new, and consumer information plays an importantrole. On this market, the elements of design and aesthetics of goods have a crucial role in the waythey are perceived.
Nicoleta Andreea Neacșu, Anca Madar
doaj  

LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density [PDF]

open access: yes
In this article we introduce the R package LogConcDEAD (Log-concave density estimation in arbitrary dimensions). Its main function is to compute the nonparametric maximum likelihood estimator of a log-concave density.
Madeleine Cule   +2 more
core  

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

open access: yesMolecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang   +9 more
wiley   +1 more source

Wallace2015-yeast-heat-agg-dryad-package

open access: yes, 2015
Complete package including processed data, intermediate data, and processing ...
D. Allan Drummond (462870)   +13 more
core   +1 more source

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

open access: yesMolecular 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   +10 more
wiley   +1 more source

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

open access: yesMolecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi   +6 more
wiley   +1 more source

Panel Data Econometrics in R: The plm Package [PDF]

open access: yes
Panel data econometrics is obviously one of the main fields in the profession, but most of the models used are difficult to estimate with R. plm is a package for R which intends to make the estimation of linear panel models straightforward.
Giovanni Millo, Yves Croissant
core  

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