Results 101 to 110 of about 2,877,717 (359)

Wrapper for Ranking Feature Selection [PDF]

open access: yes, 2004
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain a minimum subset with the same error rate as the original data.
Ruiz Sánchez, Roberto   +2 more
openaire   +3 more sources

A Framework for Feature Selection in Clustering [PDF]

open access: yesJournal of the American Statistical Association, 2010
We consider the problem of clustering observations using a potentially large set of features. One might expect that the true underlying clusters present in the data differ only with respect to a small fraction of the features, and will be missed if one clusters the observations using the full set of features.
Witten, Daniela M., Tibshirani, Robert
openaire   +4 more sources

Cytosolic‐enhanced dark Epac‐based FRET sensors allow for intracellular cAMP detection in live cells via FLIM

open access: yesFEBS Letters, Volume 599, Issue 7, Page 1075-1085, April 2025.
We describe a novel set of Epac‐based FRET‐FLIM biosensors with improved fully cytosolic distribution, achieved without compromising the state‐of‐the‐art performance of our original designs, for detecting cAMP dynamics in real time in live cells with high precision and reliability.
Giulia Zanetti   +2 more
wiley   +1 more source

Feature Selection in Hierarchical Feature Spaces [PDF]

open access: yes, 2014
Feature selection is an important preprocessing step in data mining, which has an impact on both the runtime and the result quality of the subsequent processing steps. While there are many cases where hierarchic relations between features exist, most existing feature selection approaches are not capable of exploiting those relations.
Ristoski, Petar, Paulheim, Heiko
openaire   +2 more sources

On Feature Selection Algorithms and Feature Selection Stability Measures : A Comparative Analysis [PDF]

open access: yesInternational Journal of Computer Science and Information Technology, 2017
Data mining is indispensable for business organizations for extracting useful information from the huge volume of stored data which can be used in managerial decision making to survive in the competition. Due to the day-to-day advancements in information and communication technology, these data collected from e- commerce and e-governance are mostly ...
Perumal K, Mohana Chelvan P
openaire   +1 more source

Molecular insights into the modulation of the 5HT2A receptor by serotonin, psilocin, and the G protein subunit Gqα

open access: yesFEBS Letters, Volume 599, Issue 6, Page 876-891, March 2025.
We explore 5HT2A receptor activation, a key target for psychedelic drugs, using molecular dynamics simulations. Without Gqα, the active receptor collapses to an inactive conformation, underscoring the G‐protein's role. Discovery of an intermediate “partially‐open” state and the higher affinity of ligands to the orthosteric binding site provides ...
Niklas Viohl   +2 more
wiley   +1 more source

Bayesian Penalized Method for Streaming Feature Selection

open access: yesIEEE Access, 2019
The online feature selection with streaming features has become more and more important in recent years. In contrast to standard feature selection method, streaming feature selection method can select feature dynamically without exploring full feature ...
Xiao-Ting Wang, Xin-Ze Luan
doaj   +1 more source

Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm [PDF]

open access: yesarXiv, 2022
The selection of most informative and discriminative features from high-dimensional data has been noticed as an important topic in machine learning and data engineering. Using matrix factorization-based techniques such as nonnegative matrix factorization for feature selection has emerged as a hot topic in feature selection.
arxiv  

Interaction between bacterial phytochromes Agp1 and Agp2 of Agrobacterium fabrum by fluorescence resonance energy transfer and docking studies

open access: yesFEBS Letters, Volume 599, Issue 6, Page 848-865, March 2025.
The interaction between Agrobacterium fabrum phytochromes Agp1 and Agp2 was studied using FRET. Full‐length and truncated proteins with varied label positions provided spatial insights, narrowing down from many docking models to three. These models explain Agp2's reduction in Agp1 autophosphorylation, with Arg83 of Agp2 specifically evolved to interact
Afaf El Kurdi   +7 more
wiley   +1 more source

Feature Selection For High-Dimensional Clustering [PDF]

open access: yes, 2014
We present a nonparametric method for selecting informative features in high-dimensional clustering problems. We start with a screening step that uses a test for multimodality.
Azizyan, Martin   +2 more
core  

Home - About - Disclaimer - Privacy