Results 181 to 190 of about 3,822,020 (321)

Evaluating significance in linear mixed-effects models in R

Behavior Research Methods, 2016
Steven G. Luke
semanticscholar   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

Molecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla, Jan Kosla, Magdalena Prechova, Lukas Frick, Patricia Bortel, Yasmin Borutzki, Andrea Bileck, Christopher Gerner, Samuel M. Meier‐Menches, Selma Osmanagic‐Myers, Martin Gregor   +10 more
wiley   +1 more source

Power and sample size for reversible linear mixed models with clustering and longitudinality: GLIMMPSE Version 3. [PDF]

PLoS One
Glueck DH, Li Q, Macleod AJ, Litkowski EM, Yang X, Bian J, Ritzhaupt AD, Sommer M, Valle N, Shaw JR, Muller KE.   +10 more
europepmc   +1 more source

Bayesian Analysis of Tweedie Compound Poisson Partial Linear Mixed Models with Nonignorable Missing Response and Covariates. [PDF]

Entropy (Basel), 2023
Wu Z, Duan X, Zhang W.
europepmc   +1 more source

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

Inferential procedures for random effects in generalized linear mixed models. [PDF]

PLoS One
Ning X, Hui FKC, Welsh A.
europepmc   +1 more source

REHE: Fast variance components estimation for linear mixed models. [PDF]

Genet Epidemiol, 2021
Yue K, Ma J, Thornton T, Shojaie A.
europepmc   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

Monte Carlo approximation of the logarithm of the determinant of large matrices with applications for linear mixed models in quantitative genetics. [PDF]

Genet Sel Evol
Bermann M, Alvarez-Munera A, Legarra A, Aguilar I, Misztal I, Lourenco D.   +5 more
europepmc   +1 more source

Dissecting Complex Traits Using Omics Data: A Review on the Linear Mixed Models and Their Application in GWAS. [PDF]

Plants (Basel), 2022
Alamin M, Sultana MH, Lou X, Jin W, Xu H.   +4 more
europepmc   +1 more source