Results 61 to 70 of about 640,764 (331)

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China

Frontiers in Plant Science
IntroductionChinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ecological industry development, and ecosystem management.
Xinsheng Zhu, Tianbao Huang, Ziyang Liu, Lang Bai, Yongfeng Yang, Jinsheng Ye, Qiulai Wang, Ram P. Sharma, Liyong Fu   +8 more
doaj   +1 more source

Nonlinear thermovoltage and thermocurrent in quantum dots

New Journal of Physics, 2013
Quantum dots are model systems for quantum thermoelectric behavior because of their ability to control and measure the effects of electron-energy filtering and quantum confinement on thermoelectric properties.
S Fahlvik Svensson, E A Hoffmann, N Nakpathomkun, P M Wu, H Q Xu, H A Nilsson, D Sánchez, V Kashcheyevs, H Linke   +8 more
doaj   +1 more source

Individual Tree Diameter Estimation in Small-Scale Forest Inventory Using UAV Laser Scanning

Remote Sensing, 2020
Unmanned aerial vehicle laser scanning (UAVLS) systems present a relatively new means of remote sensing and are increasingly applied in the field of forest ecology and management.
Yuanshuo Hao, Faris Rafi Almay Widagdo, Xin Liu, Ying Quan, Lihu Dong, Fengri Li   +5 more
doaj   +1 more source

A dynamic Bayesian nonlinear mixed-effects model of HIV response incorporating medication adherence, drug resistance and covariates

, 2011
HIV dynamic studies have contributed significantly to the understanding of HIV pathogenesis and antiviral treatment strategies for AIDS patients. Establishing the relationship of virologic responses with clinical factors and covariates during long-term ...
Acosta, Edward P., Holden-Wiltse, Jeanne, Huang, Yangxin, Wu, Hulin   +3 more
core   +1 more source

Modeling of Large Pharmacokinetic Data Using Nonlinear Mixed-Effects: A Paradigm Shift in Veterinary Pharmacology. A Case Study With Robenacoxib in Cats [PDF]

, 2016
The objective of this study was to model the pharmacokinetics (PKs) of robenacoxib in cats using a nonlinear mixed‐effects (NLME) approach, leveraging all available information collected from cats receiving robenacoxib s.c.
Beal, Benet, Dziak, Fink, Giraudel, Jung, King, Lainesse, Lascelles, Lavielle, Lavielle, Lees, Lehr, Martin-Jiménez, Mochel, Mochel, Pelligand, Pelligand, Savic, Sheiner, Sheiner, Sheiner, Silber, Thomasy, Toutain, Toutain, Toutain, Xu   +27 more
core   +2 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Weak localization of disordered quasiparticles in the mixed superconducting state

, 1999
Starting from a random matrix model, we construct the low-energy effective field theory for the noninteracting gas of quasiparticles of a disordered superconductor in the mixed state.
A. Altland, A. Altland, A. Altland, C. Cassanello, C. Kübert, D. Serban, D.H. Friedan, F.J. Dyson, F.J. Wegner, F.J. Wegner, G. Blatter, G.E. Volovik, H. Levine, J.J.M. Verbaarschot, K. Krishana, K.B. Efetov, K.D. Usadel, K.M. Frahm, M. R. Zirnbauer, M.J. Graf, M.R. Zirnbauer, N.P. Ong, P.A. Lee, P.A. Lee, P.W. Brouwer, R. Bundschuh, R. Bundschuh, R. Gade, R.B. Laughlin, S.R. Bahcall, T. Senthil   +30 more
core   +1 more source

A novel method based on unbiased correlations tests for covariate selection in nonlinear mixed effects models: The COSSAC approach

CPT: Pharmacometrics & Systems Pharmacology, 2021
Building a covariate model is a crucial task in population pharmacokinetics and pharmacodynamics in order to understand the determinants of the interindividual variability. Identifying a good covariate model usually requires many runs. Several procedures
Géraldine Ayral, Jean-François Si Abdallah, Claude Magnard, Jonathan Chauvin   +3 more
semanticscholar   +1 more source

DDX3X induces mesenchymal transition of endothelial cells by disrupting BMPR2 signaling

FEBS Open Bio, EarlyView.
Elevated DDX3X expression led to downregulation of BMPR2, a key regulator of endothelial homeostasis and function. Our co‐immunoprecipitation assays further demonstrated a molecular interaction between DDX3X and BMPR2. Notably, DDX3X promoted lysosomal degradation of BMPR2, thereby impairing its downstream signaling and facilitating endothelial‐to ...
Yu Zhang, Jing Wang, De‐Hui Qian, Yang‐Fan Lv, Tian‐Le Cheng, Da‐Peng Wang, Jing Zhang, Ye Fan   +7 more
wiley   +1 more source