Results 91 to 100 of about 10,633,056 (308)

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression [PDF]

open access: yes
Developing a good prepayment model is a central task in the valuation of mortgages and mortgage-backed securities but conventional parametric models often have bad out-of-sample predictive ability.
Michael Marschoun   +2 more
core  

Non-Parametric Loop-Shaping Algorithm for High-Order Servo Systems Based on Preset Frequency Domain Specifications

open access: yesEnergies
Loop shaping the controller for high-order systems, especially in the presence of flexible transmission components such as elastic shafts, gearboxes, and belts commonly found in servo systems, poses significant challenges.
Pengcheng Lan, Ming Yang, Chaoyi Shang
doaj   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

Hypothesis testing for two population means: parametric or non-parametric test? [PDF]

open access: yes, 2019
The parametric Welch t-test and the non-parametric Wilcoxon–Mann–Whitney, empirical and exponential empirical likelihood tests are commonly used for hypothesis testing of two population means.
Alenazi, Abdulaziz   +3 more
core   +1 more source

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

open access: yesFEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança   +2 more
wiley   +1 more source

[19] J. D. Gibson and M. L. Melsa, Introduction to Non-Parametric Detection

open access: yes, 2008
[16] H. V. Poor and M. Tanda, “Multiuser detection in impulsive channels,” Ann. Telecommun., vol. 54, pp. 392–400, Jul./Aug. 1999. [17] P. J. Huber, Robust Statistics. New York: Wiley, 1981. [18] B. Seyfe and A. R.
New York   +7 more
core  

The VARK Model Investigated at the Students from PPPE

open access: yesJournal of Educational Studies, 2019
Learning style can often be the „shadow witness” of students' academic performance. Understanding and knowing this aspect may facilitate the process of academic transformation, and in some cases may suggest better methods of teaching and reporting to ...
Mihai Covaci
doaj  

A Comparative Genomics Approach to the Identification of QTL Candidate Genes

open access: yesRevstat Statistical Journal, 2011
Despite rapid advances in sequencing technology, many commercially relevant species remain unsequenced, and many that are sequenced have very poorly annotated genomes.
Howsun Jow   +2 more
doaj   +1 more source

Non-parametric manifold learning

open access: yesElectronic Journal of Statistics
We introduce an estimator for distances in a compact Riemannian manifold based on graph Laplacian estimates of the Laplace-Beltrami operator. We upper bound the error in the estimate of manifold distances, or more precisely an estimate of a spectrally truncated variant of manifold distance of interest in non-commutative geometry (cf.
openaire   +2 more sources

Home - About - Disclaimer - Privacy