Results 261 to 270 of about 15,583,552 (309)

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer

Molecular Oncology, EarlyView.
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas, Barbara Karakyriakou, Patricia C. Muskus, Alyssa M. Roberts, Justin Rendleman, Alexa Warren, Hanxu Lu, Kimberly A. Birmingham, Malone K. Friedman, Abigail E. Goen, Huijuan Yang, Owen M. Wilkins, Fred W. Kolling, Eugene Demidenko, Julie M. Jorns, Brock C. Christensen, Todd W. Miller   +16 more
wiley   +1 more source

Latent Structure and Incremental Validity of the Semi-Structured Interview for Personality Functioning DSM-5 (STiP-5.1) in a Lithuanian Adolescent Sample. [PDF]

Personal Ment Health
Grigaitė A, Gaudiešiūtė E, Hutsebaut J, Barkauskienė R.   +3 more
europepmc   +1 more source

AMOEBA: Fitting routine to fit foliage cover model to data for satellite yield forecasting

, 1995
Werker, A. R.
core  

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Polygonal Model Fitting

Journal of Intelligent and Robotic Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas Kämpke, Matthias Strobel
openaire   +1 more source

Model Fitting Filter

2018 Annual American Control Conference (ACC), 2018
In this paper, we present a new nonlinear filter based on variational inference, which we have named the model fitting filter (MFF). The core of MFF is to represent or fit the nonlinear measurement likelihood probability with a linear Gaussian probability (LGP) characterized by some parameters that need to be turned.
Xiaoxu Wang, Jun Zhang, Chaofeng Li, Quan Pan 0001, Zhengtao Ding, Xin Yin   +5 more
openaire   +1 more source

On Fitting Mixture Models

1999
Consider the problem of fitting a finite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type criterion, termed MMDL(f or mixture MDL), to select the number of components of the model.
Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain 0001   +2 more
openaire   +1 more source

ROBUST FITTING OF INARCH MODELS

Journal of Time Series Analysis, 2014
We discuss robust M‐estimation of INARCH models for count time series. These models assume the observation at each point in time to follow a Poisson distribution conditionally on the past, with the conditional mean being a linear function of previous observations. This simple linear structure allows us to transfer M‐estimators for autoregressive models
Elsaied, Hanan, Fried, Roland
openaire   +1 more source