Results 251 to 260 of about 60,493 (305)

Plasmatic Profiling of Individuals With Combinations of Type 2 Diabetes Mellitus, Dyslipidemia and Periodontitis: A Cross‐Sectional Study

Oral Diseases, EarlyView.
ABSTRACT Aim The objective of this study was to investigate the global profile of plasmatic proteins of individuals affected simultaneously or not by type 2 diabetes mellitus (T2DM, well/poorly‐controlled), Dyslipidemia (DL), and Periodontitis (P). Methods Besides periodontal examination, plasma was collected for glycemic, and lipid analyses from 150 ...
François Isnaldo Dias Caldeira, Sâmia Cruz Tfaile Corbi, Alliny de Souza Bastos, Silvana Regina Perez Orrico, Cristiane Ribeiro Salmon, Yizhi Xiao, Walter Luiz Siqueira, Raquel Mantuaneli Scarel‐Caminaga   +7 more
wiley   +1 more source

Dynamic functional connectivity and gene expression correlates in temporal lobe epilepsy: insights from hidden markov models. [PDF]

J Transl Med
Qin L, Zhou Q, Sun Y, Pang X, Chen Z, Zheng J.   +5 more
europepmc   +1 more source

Research on Pig Sound Recognition Based on Deep Neural Network and Hidden Markov Models. [PDF]

Sensors (Basel)
Pan W, Li H, Zhou X, Jiao J, Zhu C, Zhang Q.   +5 more
europepmc   +1 more source

FlaHMM: unistrand <i>flamenco</i>-like piRNA cluster prediction in <i>Drosophila</i> species using hidden Markov models. [PDF]

NAR Genom Bioinform
Trapotsi MA, van Lopik J, Hannon GJ, Czech Nicholson B, Bornelöv S.   +4 more
europepmc   +1 more source

Hidden Markov Models based intelligent health assessment and fault diagnosis of rolling element bearings. [PDF]

PLoS One
Qifeng Y, Longsheng C, Naeem MT.
europepmc   +1 more source

Investigating brain network dynamics in state-dependent stimulation: A concurrent electroencephalography and transcranial magnetic stimulation study using hidden Markov models.

Brain Stimul
Makkinayeri S, Guidotti R, Basti A, Woolrich MW, Gohil C, Pettorruso M, Ermolova M, Ilmoniemi RJ, Ziemann U, Romani GL, Pizzella V, Marzetti L.   +11 more
europepmc   +1 more source

FlaHMM: unistrand flamenco -like piRNA cluster prediction in Drosophila species using hidden Markov models

Trapotsi M, van Lopik J, Hannon GJ, Nicholson BC, Bornelöv S.   +4 more
europepmc   +1 more source

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Hidden Markov models

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 ...
Sean R Eddy
exaly   +3 more sources

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, Martin Krzywinski, Naomi Altman   +2 more
openaire   +1 more source

Nonstationary hidden Markov model

Signal Processing, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
SIN, B, KIM, JH Kim, JinHyung
openaire   +3 more sources