Results 61 to 70 of about 137,667 (314)

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Non-linear regression models for Approximate Bayesian Computation

, 2009
Approximate Bayesian inference on the basis of summary statistics is well-suited to complex problems for which the likelihood is either mathematically or computationally intractable.
A. Butler, A. Gelman, B. Schölkopf, B.D. Ripley, C. Gourieroux, C.M. Bishop, C.P. Robert, D.A. Nix, D.E. Reich, E.A. Nadaraya, G. Weiss, G.E.P. Box, G.S. Watson, I.J. Wilson, J. Fan, J. Hey, J.H. Friedman, J.K. Pritchard, J.K. Pritchard, J.P. King, J.S. Liu, K. Heggland, L.A. Zhivotovsky, L.A. Zhivotovsky, M. Stephens, M. Tanaka, M.A. Beaumont, M.D. Shriver, M.K. Kuhner, N.J.R. Fagundes, O. Ratmann, P. Bortot, P. Marjoram, P. Marjoram, P.J. Diggle, S. Tavaré, S. Tavaré, S.A. Sisson, T. Ohta, T. Toni, V.N. Vapnik, W. Härdle, Y.-X. Fu, Y.-X. Fu   +43 more
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Strategies for improving approximate Bayesian computation tests for synchronous diversification

BMC Evolutionary Biology, 2017
Background Estimating the variability in isolation times across co-distributed taxon pairs that may have experienced the same allopatric isolating mechanism is a core goal of comparative phylogeography.
Isaac Overcast, Justin C. Bagley, Michael J. Hickerson   +2 more
doaj   +1 more source

Approximate Bayesian Computation by Modelling Summary Statistics in a Quasi-likelihood Framework [PDF]

, 2015
Approximate Bayesian Computation (ABC) is a useful class of methods for Bayesian inference when the likelihood function is computationally intractable. In practice, the basic ABC algorithm may be inefficient in the presence of discrepancy between prior ...
Cabras, Stefano, Nueda, Maria Eugenia Castellanos, Ruli, Erlis   +2 more
core   +3 more sources

Model Comparison in Approximate Bayesian Computation

CoRR, 2022
A common problem in natural sciences is the comparison of competing models in the light of observed data. Bayesian model comparison provides a statistically sound framework for this comparison based on the evidence each model provides for the data. However, this framework relies on the calculation of likelihood functions which are intractable for most ...
openaire   +2 more sources

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Copula Approximate Bayesian Computation Using Distribution Random Forests

Stats
Ongoing modern computational advancements continue to make it easier to collect increasingly large and complex datasets, which can often only be realistically analyzed using models defined by intractable likelihood functions.
George Karabatsos
doaj   +1 more source

GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation [PDF]

, 2019
Motivation Approximate Bayesian computation (ABC) is an important framework within which to infer the structure and parameters of a systems biology model.
Hameed, Tara, He, Fei, Ish-Horowicz, Jonathan, Kleijn, Istvan, Roesch, Elisabeth, Stumpf, Michael P H, Tankhilevich, Evgeny   +6 more
core   +2 more sources

Approximate Bayesian Computation for Smoothing [PDF]

Stochastic Analysis and Applications, 2014
We consider a method for approximate inference in hidden Markov models (HMMs). The method circumvents the need to evaluate conditional densities of observations given the hidden states. It may be considered an instance of Approximate Bayesian Computation (ABC) and it involves the introduction of auxiliary variables valued in the same space as the ...
Martin, JS, Jasra, A, Singh, SS, Whiteley, N, Del Moral, P, McCoy, E   +5 more
openaire   +2 more sources