Results 71 to 80 of about 1,223,755 (370)

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

open access: yesFEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee   +3 more
wiley   +1 more source

Approximate maximum likelihood estimation using data-cloning ABC

open access: yes, 2016
A maximum likelihood methodology for a general class of models is presented, using an approximate Bayesian computation (ABC) approach. The typical target of ABC methods are models with intractable likelihoods, and we combine an ABC-MCMC sampler with so ...
Anderson, Rachele, Picchini, Umberto
core   +1 more source

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Semidefinite Programming for Approximate Maximum Likelihood Sinusoidal Parameter Estimation

open access: yesEURASIP Journal on Advances in Signal Processing, 2009
We study the convex optimization approach for parameter estimation of several sinusoidal models, namely, single complex/real tone, multiple complex sinusoids, and single two-dimensional complex tone, in the presence of additive Gaussian noise.
Kenneth W. K. Lui, H. C. So
doaj   +1 more source

BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees

open access: yes, 2018
The rising volume of datasets has made training machine learning (ML) models a major computational cost in the enterprise. Given the iterative nature of model and parameter tuning, many analysts use a small sample of their entire data during their ...
Anderson M. R.   +26 more
core   +1 more source

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

open access: yesMolecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath   +13 more
wiley   +1 more source

High Dynamic GPS Tracking Loop Based on Fast Maximum Likelihood Estimation [PDF]

open access: yesJisuanji gongcheng, 2016
In high dynamic environment,the Global Positioning System(GPS) software receiver has low tracking accuracy and is prone to loss of lock.To solve these problems,a high accuracy and fast tracking method based on Maximum Likelihood Estimation(MLE) is ...
YI Qingming,LUO Chong,SHI Min
doaj   +1 more source

Approximated maximum likelihood estimation in multifractal random walks

open access: yes, 2012
We present an approximated maximum likelihood method for the multifractal random walk processes of [E. Bacry et al., Phys. Rev. E 64, 026103 (2001)]. The likelihood is computed using a Laplace approximation and a truncation in the dependency structure ...
A. N. Kolmogorov   +6 more
core   +1 more source

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

open access: yesMolecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern   +7 more
wiley   +1 more source

Maximum likelihood signature estimation [PDF]

open access: yes
Maximum-likelihood estimates are discussed which are based on an unlabeled sample of observations, of unknown parameters in a mixture of normal distributions. Several successive approximation procedures for obtaining such maximum-likelihood estimates are
Walker, H. F.
core   +1 more source

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