Results 41 to 50 of about 951,800 (293)
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data [PDF]
arXiv, 2023 In this paper, a new feature selection algorithm, called SFE (Simple, Fast, and Efficient), is proposed for high-dimensional datasets. The SFE algorithm performs its search process using a search agent and two operators: non-selection and selection. It comprises two phases: exploration and exploitation.
arxiv
FEBS Letters, EarlyView.Low‐density lipoprotein receptor‐related protein 6 (LRP6) is a key receptor for the Wnt antagonist Dickkopf1 (DKK1). DKK1 protein expression is induced in a bleomycin (BLM)‐induced lung injury model. We show that DKK1 induces proinflammatory and profibrotic genes in lung fibroblasts.
Eun‐Ah Sung +6 more
wiley +1 more source
Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones
FEBS Letters, EarlyView.Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley +1 more source
Feature Selection via L1-Penalized Squared-Loss Mutual Information [PDF]
, 2012 Feature selection is a technique to screen out less important features. Many existing supervised feature selection algorithms use redundancy and relevancy as the main criteria to select features. However, feature interaction, potentially a key characteristic in real-world problems, has not received much attention.
arxiv +1 more source
FEBS Letters, EarlyView.The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva +1 more
wiley +1 more source
Nested ensemble selection: An effective hybrid feature selection method
Heliyon, 2023 It has been shown that while feature selection algorithms are able to distinguish between relevant and irrelevant features, they fail to differentiate between relevant and redundant and correlated features.
Firuz Kamalov +4 more
doaj
Feature Selection in Big Image Datasets
Proceedings, 2020 In computer vision, current feature extraction techniques generate high dimensional data. Both convolutional neural networks and traditional approaches like keypoint detectors are used as extractors of high-level features. However, the resulting datasets
J. Guzmán Figueira-Domínguez +2 more
doaj +1 more source
Brain Inspired Color Feature Selection Chip
IEEE Photonics Journal, 2022 Inspired by the mechanism of visual attentional selection, a color feature selection unit consisting of photoreceptors and an attentional selection circuit (ASC) is presented.
Sheng Xie +5 more
doaj +1 more source
Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
The Feature Compression Algorithms for Identifying Cytokines Based on CNT Features
IEEE Access, 2020 As the signaling proteins, cytokines regulate a wide range of biological functions. It is important to distinguish the cytokines from other kinds of proteins.
Guilin Li, Xing Gao
doaj +1 more source