Results 41 to 50 of about 600,122 (312)

High-dimensional bolstered error estimation [PDF]

open access: yesBioinformatics, 2011
Abstract Motivation: In small-sample settings, bolstered error estimation has been shown to perform better than cross-validation and competitively with bootstrap with regard to various criteria. The key issue for bolstering performance is the variance setting for the bolstering kernel.
Chao, Sima   +2 more
openaire   +2 more sources

The anti‐CRISPR protein AcrIE8.1 inhibits the type I‐E CRISPR‐Cas system by directly binding to the Cascade subunit Cas11

open access: yesFEBS Letters, EarlyView.
In this study, we present the structure of AcrIE8.1, a previously uncharacterized anti‐CRISPR protein that inhibits the type I‐E CRISPR‐Cas system. Through a combination of structural and biochemical analyses, we demonstrate that AcrIE8.1 directly binds to the Cas11 subunit of the Cascade complex to inhibit the CRISPR‐Cas system.
Young Woo Kang, Hyun Ho Park
wiley   +1 more source

Unified Convergence Analysis of Chebyshev–Halley Methods for Multiple Polynomial Zeros

open access: yesMathematics, 2022
In this paper, we establish two local convergence theorems that provide initial conditions and error estimates to guarantee the Q-convergence of an extended version of Chebyshev–Halley family of iterative methods for multiple polynomial zeros due to ...
Stoil I. Ivanov
doaj   +1 more source

A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins

open access: yesFEBS Letters, EarlyView.
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue   +6 more
wiley   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

open access: yesFEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang   +5 more
wiley   +1 more source

THE SAMPLING ERROR OF ROTATOR ESTIMATES OF EYE VOLUME

open access: yesImage Analysis and Stereology, 2011
The vertical rotator is a design based stereological method for estimating object volume using measurements made on co-axial sections. Recently we used the method to estimate eye volume in a number of pathological studies. In the present note we apply an
Matthew G Reed, CV Howard
doaj   +1 more source

FUNCTIONAL-TYPE A POSTERIORI ERROR ESTIMATES FOR SOLUTIONS IN DEFORMABLE SOLID MECHANICS

open access: yesSt. Petersburg Polytechnical University Journal: Physics and Mathematics, 2020
Paper provides a historical review and recent developments on theoretical justification and numerical implementations of functional a posteriori error estimates and adaptive algorithms for approximate solutions to problems in deformable solid mechanics ...
Valdman Jan, Frolov Maxim
doaj   +1 more source

The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity

open access: yesFEBS Letters, EarlyView.
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley   +1 more source

On the aposteriori error estimates for finite‐element solutions

open access: yesMathematical Modelling and Analysis, 1998
The analysis of the accuracy of the aposteriori error estimation procedure for finite‐element solutions is presented. The function Y — y is used as an aposteriori error estimator, here y ∈ S 0 1,Δ is the finite‐element solution of the given problem and Y
Raimondas Èiegis
doaj   +1 more source

Model Selection and Error Estimation [PDF]

open access: yesMachine Learning, 2000
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty function and the performance of the estimate is governed by the quality of
Bartlett, Peter   +2 more
openaire   +6 more sources

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