Results 81 to 90 of about 1,288,237 (252)
Evolutionary shift detection with ensemble variable selection
BMC Ecology and EvolutionAbrupt environmental changes can lead to evolutionary shifts in trait evolution. Identifying these shifts is an important step in understanding the evolutionary history of phenotypes. The detection performances of different methods are influenced by many
Wensha Zhang +2 more
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Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover
Remote Sensing, 2018 Fractional vegetation cover (FVC) is an essential parameter for characterizing the land surface vegetation conditions and plays an important role in earth surface process simulations and global change studies.
Bing Wang +7 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris +24 more
wiley +1 more source
Geosciences, 2019 Seabed sediment predictions at regional and national scales in Australia are mainly based on bathymetry-related variables due to the lack of backscatter-derived data. In this study, we applied random forests (RFs), hybrid methods of RF and geostatistics,
Jin Li +3 more
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High-dimensional variable selection
The Annals of Statistics, 2009 This paper explores the following question: what kind of statistical guarantees can be given when doing variable selection in high-dimensional models? In particular, we look at the error rates and power of some multi-stage regression methods. In the first stage we fit a set of candidate models.
Wasserman, Larry, Roeder, Kathryn
openaire +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley +1 more source
EconometricsRegularized regression methods have attracted much attention in the literature, mainly due to its application in high-dimensional variable selection problems.
Lin Xue, Liqun Wang
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Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data
Journal of Statistical Software, 2019 In this paper we introduce fuzzy forests, a novel machine learning algorithm for ranking the importance of features in high-dimensional classification and regression problems. Fuzzy forests is specifically designed to provide relatively unbiased rankings
Daniel Conn +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas +7 more
wiley +1 more source
Covariate Selection for RNA-Seq Differential Expression Analysis with Hidden Factor Adjustment
MathematicsIn RNA-seq data analysis, a primary objective is the identification of differentially expressed genes, which are genes that exhibit varying expression levels across different conditions of interest.
Farzana Noorzahan +2 more
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