Results 51 to 60 of about 442,883 (292)

Therapeutic strategies for MMAE‐resistant bladder cancer through DPP4 inhibition

Molecular Oncology, EarlyView.
We established monomethyl auristatin E (MMAE)‐resistant bladder cancer (BC) cell lines by exposure to progressively increasing concentrations of MMAE in vitro. RNA sequencing showed DPP4 expression was increased in MMAE‐resistant BC cells. Both si‐DPP4 and the DPP4 inhibitor sitagliptin suppressed the viability of MMAE‐resistant BC cells.
Gang Li, Shuichi Tatarano, Hirofumi Yoshino, Saeki Saito, Mitsuhiko Tominaga, Junya Arima, Ikumi Fukuda, Takashi Sakaguchi, Ryosuke Matsushita, Yasutoshi Yamada, Hideki Enokida   +10 more
wiley   +1 more source

Parametric and Nonparametric Machine Learning Techniques for Increasing Power System Reliability: A Review

Information
Due to aging infrastructure, technical issues, increased demand, and environmental developments, the reliability of power systems is of paramount importance. Utility companies aim to provide uninterrupted and efficient power supply to their customers. To
Fariha Imam, Petr Musilek, Marek Z. Reformat   +2 more
doaj   +1 more source

Parametric assumptions equate to hidden observations: comparing the efficiency of nonparametric and parametric models for estimating time to AIDS or death in a cohort of HIV-positive women

BMC Medical Research Methodology, 2018
Background When conducting a survival analysis, researchers might consider two broad classes of models: nonparametric models and parametric models. While nonparametric models are more flexible because they make few assumptions regarding the shape of the ...
Jacqueline E. Rudolph, Stephen R. Cole, Jessie K. Edwards   +2 more
doaj   +1 more source

Index Option Pricing via Nonparametric Regression

Econometric Research in Finance, 2022
Investors typically use the Black-Scholes (B-S) parametric model to value financial options. However, there is extensive empirical evidence that the B-S model, assuming constant volatility of stock returns, is far from adequate to price options.
Ka Po Kung
doaj   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Diabetes‐induced vascular calcification is associated with low pyrophosphate and its oral supplementation prevents calcification in diabetic mice

FEBS Open Bio, EarlyView.
Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp, Eszter Kozák, Natália Tőkési, Lilian Kocsis, Anikó Kelemen, Zsuzsanna Geszti, Adriána Kutás, Mariann Harangi, Ágnes Diószegi, Zsolt Rapi, József Balla, Olivier Le Saux, András Váradi, Viola Pomozi   +13 more
wiley   +1 more source

Robust Online Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes

IEEE Access
The paper presents an online version of the identification method for estimating the impulse responses in the case of a two-input single-output linear empirical model of type 1 diabetes that allows us to adapt the model parameters due to the intra ...
Martin Dodek, Eva Miklovicova
doaj   +1 more source

Nonparametric methods for the characteristic model [PDF]

, 2004
Characteristics models have been found to be useful in many areas of economics. However, their empirical implementation tends to rely heavily on functional form assumptions.
Blow, L., Browning, M., Crawford, I.
core  

Location Dependent Dirichlet Processes

, 2017
Dirichlet processes (DP) are widely applied in Bayesian nonparametric modeling. However, in their basic form they do not directly integrate dependency information among data arising from space and time.
A Oliva, A Rodríguez, C Bishop, C Williams, CE Rasmussen, D Blei, D Blei, D Dunson, E Sudderth, F Zhu, H Ishwaran, J Duan, J Griffin, J Griffin, J Paisley, J Sethuraman, J Shi, L Ren, N Foti, P Orbanz, R Unnikrishnan, S Kumar, T Ferguson, X Sun, YW Teh   +24 more
core   +1 more source

Multivariate small sample tests for two-way designs with applications to industrial statistics [PDF]

, 2018
In this paper, we present a novel nonparametric approach for multivariate analysis of two-way crossed factorial design based on NonParametric Combination applied to Synchronized Permutation tests.
Arboretti, Rosa, Ceccato, Riccardo, Corain, Livio, Ronchi, Fabrizio, Salmaso, Luigi   +4 more
core   +1 more source