Results 41 to 50 of about 245,585 (258)

Substrate Matters: Ionic Silver Alters Lettuce Growth, Nutrient Uptake, and Root Microbiome in a Hydroponics System

open access: yesMicroorganisms
Ionic silver (Ag+) is being investigated as a residual biocide for use in NASA spacecraft potable water systems on future crewed missions. This water will be used to irrigate future spaceflight crop production systems.
LaShelle Spencer   +11 more
doaj   +1 more source

Robust Lasso-Zero for sparse corruption and model selection with missing covariates

open access: yes, 2020
We propose Robust Lasso-Zero, an extension of the Lasso-Zero methodology [Descloux and Sardy, 2018], initially introduced for sparse linear models, to the sparse corruptions problem.
Boyer, Claire   +4 more
core   +2 more sources

Fuzzy Gaussian Lasso clustering with application to cancer data

open access: yesMathematical Biosciences and Engineering, 2020
Recently, Yang et al. (2019) proposed a fuzzy model-based Gaussian (F-MB-Gauss) clustering that combines a model-based Gaussian with fuzzy membership functions for clustering.
Miin-Shen Yang, Wajid Ali
doaj   +1 more source

Data‐driven Bayesian network learning analysis on the regulatory mechanism between carcinogenic genes and immune cells

open access: yesClinical and Translational Discovery, 2023
Background In recent years, it has become a research focus to accurately extract key genes influencing the occurrence and development of diseases from massive genomic data and study their regulatory mechanisms.
Weixiao Bu   +7 more
doaj   +1 more source

A Pliable Lasso

open access: yesJournal of Computational and Graphical Statistics, 2019
We propose a generalization of the lasso that allows the model coefficients to vary as a function of a general set of some prespecified modifying variables. These modifiers might be variables such as gender, age, or time. The paradigm is quite general, with each lasso coefficient modified by a sparse linear function of the modifying variables Z.
Tibshirani, Robert, Friedman, Jerome
openaire   +3 more sources

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

Pick-and-eat space crop production flight testing on the International Space Station

open access: yesJournal of Plant Interactions
Fresh, nutritious, palatable produce for crew consumption on long-duration spaceflight missions may provide health-promoting, bioavailable nutrients and enhance the dietary experience.
Jess M. Bunchek   +9 more
doaj   +1 more source

Predicting the risk of autoimmune thyroid disease in patients with vitiligo: Development and assessment of a new predictive nomogram

open access: yesFrontiers in Endocrinology, 2023
BackgroundThis study aimed to develop an autoimmune thyroid disease (AITD) risk prediction model for patients with vitiligo based on readily available characteristics.MethodsA retrospective analysis was conducted on the clinical characteristics ...
Ze Ma   +6 more
doaj   +1 more source

Adaptive robust variable selection

open access: yes, 2014
Heavy-tailed high-dimensional data are commonly encountered in various scientific fields and pose great challenges to modern statistical analysis. A natural procedure to address this problem is to use penalized quantile regression with weighted $L_1 ...
Barut, Emre   +2 more
core   +1 more source

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey   +4 more
wiley   +1 more source

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