Results 41 to 50 of about 2,759,833 (308)
Dual-Regularized Feature Selection for Class-Specific and Global Feature Associations
EntropyUnderstanding feature associations is vital for selecting the most informative features. Existing methods primarily focus on global feature associations, which capture overall relationships across all samples.
Chenchen Wang +4 more
doaj +1 more source
Stability of feature selection algorithm: A review
Journal of King Saud University: Computer and Information Sciences, 2022 Feature selection technique is a knowledge discovery tool which provides an understanding of the problem through the analysis of the most relevant features.
Utkarsh Mahadeo Khaire, R. Dhanalakshmi
doaj +1 more source
Feature selection for modular GA-based classification [PDF]
, 2004 Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. Feature selection plays an important role in finding relevant features in classification.
Anand +17 more
core +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Plasmodium falciparum gametogenesis essential protein 1 (GEP1) is a transmission‐blocking target
FEBS Letters, EarlyView.This study shows Plasmodium falciparum GEP1 is vital for activating sexual stages of malarial parasites even independently of a mosquito factor. Knockout parasites completely fail gamete formation even when a phosphodiesterase inhibitor is added. Two single‐nucleotide polymorphisms (V241L and S263P) are found in 12%–20% of field samples.
Frederik Huppertz +5 more
wiley +1 more source
FEBS Letters, EarlyView.Atovaquone is an antimalarial requiring potentiation for sufficient efficacy. We pursued strategies to enhance its activity, showing that 4‐nitrobenzoate inhibits 4‐hydroxybenzoate polyprenyltransferase, decreasing ubiquinone biosynthesis. Since atovaquone competes with ubiquinol in mitochondria, 4‐nitrobenzoate facilitates its action, potentiating ...
Ignasi Bofill Verdaguer +7 more
wiley +1 more source
Hybrid Feature Selection Method for Tumor Gene Based on Spark [PDF]
Jisuanji gongcheng, 2018 In order to deal with the tumor gene data which grows rapidly with the development of microarray technology,and achieve the feature selection of tumor gene data,combined with integrated feature selection and mixed feature selection,a hybrid feature ...
WANG Lili,DENG Li,YU Yue,FEI Minrui
doaj +1 more source
A Feature Selection Algorithm Performance Metric for Comparative Analysis
Algorithms, 2021 This study presents a novel performance metric for feature selection algorithms that is unbiased and can be used for comparative analysis across feature selection problems.
Werner Mostert +2 more
doaj +1 more source
Temporal Feature Selection with Symbolic Regression [PDF]
, 2017 Building and discovering useful features when constructing machine learning models is the central task for the machine learning practitioner. Good features are useful not only in increasing the predictive power of a model but also in illuminating the ...
Fusting, Christopher Winter
core +1 more source
FEBS Letters, EarlyView.Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur +5 more
wiley +1 more source