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   Articles with "lasso" as a keyword



Discovery and Heterologous Expression of Trilenodin, an Antimicrobial Lasso Peptide with a Unique Tri‐Isoleucine Motif

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recommendations! Published in 2024 at "Chembiochem"

DOI: 10.1002/cbic.202400586

Abstract: Lasso peptides are an increasingly relevant class of peptide natural products with diverse biological activities, intriguing physical properties, and unique chemical structures. Most characterized lasso peptides have been from Actinobacteria and Proteobacteria, despite bioinformatic analyses… read more here.

Keywords: tri isoleucine; lasso peptides; lasso peptide; lasso ... See more keywords

Discovery and Characterization of Rubrinodin Provide Clues into the Evolution of Lasso Peptides.

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recommendations! Published in 2022 at "Biochemistry"

DOI: 10.1021/acs.biochem.2c00029

Abstract: Lasso peptides are unique natural products that comprise a class of ribosomally synthesized and post-translationally modified peptides. Their defining three-dimensional structure is a lariat knot, in which the C-terminal tail is threaded through a macrolactam… read more here.

Keywords: lasso peptides; lasso; lasso peptide; rubrinodin ... See more keywords

Cell-Free Biosynthesis to Evaluate Lasso Peptide Formation and Enzyme-Substrate Tolerance.

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recommendations! Published in 2021 at "Journal of the American Chemical Society"

DOI: 10.1021/jacs.1c01452

Abstract: Lasso peptides are ribosomally synthesized and post-translationally modified peptide (RiPP) natural products that display a unique lariat-like, threaded conformation. Owing to a locked three-dimensional structure, lasso peptides can be unusually stable toward heat and proteolytic… read more here.

Keywords: lasso peptides; cfb; lasso peptide; cell free ... See more keywords

Interval LASSO regression based extreme learning machine for nonlinear multivariate calibration of near infrared spectroscopic datasets

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recommendations! Published in 2018 at "Analytical Methods"

DOI: 10.1039/c8ay00466h

Abstract: As a nonlinear multivariate calibration method, extreme learning machine (ELM) has recently received increasing attention for its fast learning speed and excellent generalized performance. However, it is implemented normally under the empirical risk minimization scheme,… read more here.

Keywords: based elm; nonlinear multivariate; elm; lasso ... See more keywords

Rational generation of lasso peptides based on biosynthetic gene mutations and site-selective chemical modifications

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recommendations! Published in 2021 at "Chemical Science"

DOI: 10.1039/d1sc02695j

Abstract: Lasso peptides are a unique family of natural products whose structures feature a specific threaded fold, which confers these peptides the resistance to thermal and proteolytic degradation. This stability gives lasso peptides excellent pharmacokinetic properties,… read more here.

Keywords: lasso peptides; site selective; lasso; generation ... See more keywords

Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models.

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recommendations! Published in 2022 at "Multivariate behavioral research"

DOI: 10.1080/00273171.2021.1985950

Abstract: Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step… read more here.

Keywords: lasso; adaptive lasso; lasso adaptive; regularization methods ... See more keywords

Network Inference With the Lasso

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recommendations! Published in 2024 at "Multivariate Behavioral Research"

DOI: 10.1080/00273171.2024.2317928

Abstract: Abstract Calculating confidence intervals and p-values of edges in networks is useful to decide their presence or absence and it is a natural way to quantify uncertainty. Since lasso estimation is often used to obtain… read more here.

Keywords: lasso; confidence intervals; network inference; network ... See more keywords

Robust adaptive Lasso for variable selection

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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2015.1019138

Abstract: ABSTRACT The adaptive least absolute shrinkage and selection operator (Lasso) and least absolute deviation (LAD)-Lasso are two attractive shrinkage methods for simultaneous variable selection and regression parameter estimation. While the adaptive Lasso is efficient for… read more here.

Keywords: robust adaptive; adaptive lasso; lad lasso; lasso ... See more keywords

Algorithms for Fitting the Constrained Lasso

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recommendations! Published in 2018 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2018.1473777

Abstract: ABSTRACT We compare alternative computing strategies for solving the constrained lasso problem. As its name suggests, the constrained lasso extends the widely used lasso to handle linear constraints, which allow the user to incorporate prior… read more here.

Keywords: constrained lasso; fitting constrained; algorithms fitting; lasso ... See more keywords

Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data

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recommendations! Published in 2021 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbaa230

Abstract: Abstract Least absolute shrinkage and selection operator (LASSO) regression is often applied to select the most promising set of single nucleotide polymorphisms (SNPs) associated with a molecular phenotype of interest. While the penalization parameter λ… read more here.

Keywords: protein metabolite; lasso; robust huber; expression ... See more keywords

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data

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recommendations! Published in 2022 at "PLOS ONE"

DOI: 10.1101/2022.04.22.489133

Abstract: High-dimensional LASSO (Hi-LASSO) is a powerful feature selection tool for high-dimensional data. Our previous study showed that Hi-LASSO outperformed the other state-of-the-art LASSO methods. However, the substantial cost of bootstrapping and the lack of experiments… read more here.

Keywords: lasso; feature selection; dimensional data; high dimensional ... See more keywords