Results 81 to 90 of about 642,813 (313)

Human-in-the-Loop Feature Selection

Proceedings of the AAAI Conference on Artificial Intelligence, 2019
Feature selection is a crucial step in the conception of Machine Learning models, which is often performed via datadriven approaches that overlook the possibility of tapping into the human decision-making of the model’s designers and users. We present a human-in-the-loop framework that interacts with domain experts by collecting their feedback ...
Correia, Alvaro, Lecue, Freddy
openaire   +5 more sources

Disruption of SETD3‐mediated histidine‐73 methylation by the BWCFF‐associated β‐actin G74S mutation

FEBS Letters, EarlyView.
The β‐actin G74S mutation causes altered interaction of actin with SETD3, reducing histidine‐73 methylation efficiency and forming two distinct actin variants. The variable ratio of these variants across cell types and developmental stages contributes to tissue‐specific phenotypical changes. This imbalance may impair actin dynamics and mechanosensitive
Anja Marquardt, Marcus S. Münchhoff, Jacqueline Krohn, Philip M. Palarz, Manuel H. Taft, Johannes N. Greve, Nataliya Di Donato, Falk F. R. Buettner, Dietmar J. Manstein   +8 more
wiley   +1 more source

On Two-Stage Feature Selection Methods for Text Classification

IEEE Access, 2018
Text classification is a high dimensional pattern recognition problem where feature selection is an important step. Although researchers still propose new feature selection methods, there exist many two-stage feature selection methods combining existing ...
Alper Kursat Uysal
doaj   +1 more source

Feature selection based on bootstrapping

2005 ICSC Congress on Computational Intelligence Methods and Applications, 2006
The results of feature selection methods have a great influence on the success of data mining processes, especially when the data sets have high dimensionality. In order to find the optimal result from feature selection methods, we should check each possible subset of features to obtain the precision on classification, i.e., an exhaustive search ...
Díaz Díaz, Norberto, Aguilar Ruiz, Jesús Salvador, Nepomuceno Chamorro, Juan Antonio, García Gutiérrez, Jorge   +3 more
openaire   +3 more sources

Purification tags markedly affect self‐aggregation of CPEB3

FEBS Letters, EarlyView.
Although recombinant proteins are used to study protein aggregation in vitro, uncleaved tags can interfere with accurate interpretation. Our findings demonstrate that His₆‐GFP and His₁₂ tags significantly affect liquid droplet and amyloid fibril formation in the intrinsically disordered region (IDR) of mouse cytoplasmic polyadenylation element‐binding ...
Harunobu Saito, Yujin Lee, Motoharu Ueno, Naotaka Sekiyama, Masatomo So, Ayako Furukawa, Kenji Sugase   +6 more
wiley   +1 more source

Circulating histones as clinical biomarkers in critically ill conditions

FEBS Letters, EarlyView.
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez, Juan Carlos Ruiz‐Rodríguez, Ricard Ferrer, Raquel Durá, Antonio Artigas, Iván Bajaña, David Bolado López de Andujar, Irene Cánovas‐Cervera, Adrián Ceccato, Luis Chiscano‐Camón, Elena Climent‐Martinez, Georgia García Fernández, Gemma Goma, Verónica Monforte, Beatriz Quevedo‐Sánchez, Adolf Ruiz‐Sanmartín, Antonio Sierra‐Rivera, Nieves Carbonell Monleón   +17 more
wiley   +1 more source

Feature Selection in Texts

, 2017
Feature selection is used in many application areas relevant to expert and intelligent systems, such as machine learning, data mining, cheminformatics and natural language processing. In this study we propose methods for feature selection and features analysis based on Support Vector Machines (SVM) with linear kernels.
openaire   +3 more sources

Insights into pegRNA design from editing of the cardiomyopathy‐associated phospholamban R14del mutation

FEBS Letters, EarlyView.
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao, Qiangbing Yang, Christian J.B. Snijders Blok, Mark A. Daniels, Pieter A. Doevendans, Raymond Schiffelers, Joost P.G. Sluijter, Zhiyong Lei   +7 more
wiley   +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  

Feature selection environment for genomic applications

BMC Bioinformatics, 2008
Background Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e., for dimensionality reduction).
Martins David, Lopes Fabrício, Cesar Roberto M   +2 more
doaj   +1 more source