Results 101 to 110 of about 6,969,735 (365)
Evolutionary interplay between viruses and R‐loops
FEBS Letters, EarlyView.Viruses interact with specialized nucleic acid structures called R‐loops to influence host transcription, epigenetic states, latency, and immune evasion. This Perspective examines the roles of R‐loops in viral replication, integration, and silencing, and how viruses co‐opt or avoid these structures.
Zsolt Karányi +4 more
wiley +1 more source
Feature Selection via Chaotic Antlion Optimization. [PDF]
PLoS ONE, 2016 Selecting a subset of relevant properties from a large set of features that describe a dataset is a challenging machine learning task. In biology, for instance, the advances in the available technologies enable the generation of a very large number of ...
Hossam M Zawbaa, E Emary, Crina Grosan
doaj +1 more source
Feature and Region Selection for Visual Learning
, 2016 Visual learning problems such as object classification and action recognition are typically approached using extensions of the popular bag-of-words (BoW) model.
Cabral, Ricardo +3 more
core +2 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 +8 more
wiley +1 more source
Scalable and Accurate Online Feature Selection for Big Data
, 2016 Feature selection is important in many big data applications. Two critical challenges closely associate with big data. Firstly, in many big data applications, the dimensionality is extremely high, in millions, and keeps growing.
Ding, Wei +3 more
core +1 more source
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 +6 more
wiley +1 more source
High-Confidence ComputingThe modern industries of today demand the classification of satellite images, and to use the information obtained from it for their advantage and growth.
Rajalaxmi Padhy +2 more
doaj +1 more source
Wrapper for Ranking Feature Selection [PDF]
, 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
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 +17 more
wiley +1 more source
Exploring feature selection and classification methods for predicting heart disease
Digital Health, 2020 Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen by various ...
Robinson Spencer +3 more
semanticscholar +1 more source