Results 111 to 120 of about 33,716 (166)
Carbon Monoxide in an Experimental Model of Chronic Pelvic Pain Syndrome: The Effects of CORM-A1 on Pain and Anxiety-Related Behaviors. [PDF]
Šutulović N +13 more
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Proteomic Analysis of Small Extracellular Vesicles From Lymphatic Affluents in Developing Premetastatic Niche in Melanoma. [PDF]
Suman S +12 more
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PD-L1-Targeting Nanoparticles for the Treatment of Triple-Negative Breast Cancer: A Preclinical Model. [PDF]
Nevala WK +4 more
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Microbiome modulation and behavioural improvements in children with fragile X syndrome following probiotic intake: A pilot study. [PDF]
Protic D +12 more
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The Flipped Classroom in Medical Education: Systematic Review and Meta-Analysis.
Spaic D +14 more
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Markov models — hidden Markov models
Nature Methods, 2019“Everything we see hides another thing, we always want to see what is hidden by what we see” — Rene ...
Jasleen K. Grewal +2 more
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Nature Methods, 2019
You can look back there to explain things, but the explanation disappears. You’ll never find it there. Things are not explained by the past. They’re explained by what happens now.
Jasleen K. Grewal +2 more
openaire +1 more source
You can look back there to explain things, but the explanation disappears. You’ll never find it there. Things are not explained by the past. They’re explained by what happens now.
Jasleen K. Grewal +2 more
openaire +1 more source
2014
This section reviews the relation between the continuous dynamics of a molecular system in thermal equilibrium and the kinetics given by a Markov State Model (MSM). We will introduce the dynamical propagator, an error-less, alternative description of the continuous dynamics, and show how MSMs result from its discretization.
Marco, Sarich +2 more
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This section reviews the relation between the continuous dynamics of a molecular system in thermal equilibrium and the kinetics given by a Markov State Model (MSM). We will introduce the dynamical propagator, an error-less, alternative description of the continuous dynamics, and show how MSMs result from its discretization.
Marco, Sarich +2 more
openaire +2 more sources
Current Opinion in Structural Biology, 1996
'Profiles' of protein structures and sequence alignments can detect subtle homologies. Profile analysis has been put on firmer mathematical ground by the introduction of hidden Markov model (HMM) methods. During the past year, applications of these powerful new HMM-based profiles have begun to appear in the fields of protein-structure prediction and ...
openaire +2 more sources
'Profiles' of protein structures and sequence alignments can detect subtle homologies. Profile analysis has been put on firmer mathematical ground by the introduction of hidden Markov model (HMM) methods. During the past year, applications of these powerful new HMM-based profiles have begun to appear in the fields of protein-structure prediction and ...
openaire +2 more sources

