Results 101 to 110 of about 4,929,720 (302)
Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir +9 more
wiley +1 more source
Unbiased estimators for random design regression
In linear regression we wish to estimate the optimum linear least squares predictor for a distribution over $d$-dimensional input points and real-valued responses, based on a small sample. Under standard random design analysis, where the sample is drawn i.i.d.
Michal Derezinski +2 more
openaire +5 more sources
Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence [PDF]
Structured additive regression comprises many semiparametric regression models such as generalized additive (mixed) models, geoadditive models, and hazard regression models within a unified framework.
Kneib, Thomas, Fahrmeir, Ludwig
core +1 more source
Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source
Foram estimados valores genéticos para as produções de leite no dia do controle de animais da raça Caracu, usando modelo unicaracterístico padrão (TDMO) e modelo de regressão aleatória (MRA).
Lenira El Faro +1 more
doaj +1 more source
The Variances of Regression Coefficient Estimates Using Aggregate Data [PDF]
This paper considers the effect of aggregation on the variance of parameter estimates for a linear regression model with random coefficients and an additive error term.
Roy E. Welsch, Edwin Kuh
core
Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects [PDF]
Finite mixture models are routinely applied to time course microarray data. Due to the complexity and size of this type of data the choice of good starting values plays an important role.
Leisch, Friedrich +2 more
core +1 more source
Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source
Este trabalho foi realizado com o objetivo de avaliar a utilização de diferentes estruturas de variância residual para estimação de funções de covariância para o peso de bovinos da raça Canchim.
Fábio Luiz Buranelo Toral +2 more
doaj +1 more source
Fixed and random covariance regression analyses
25 ...
Zou, Tao +3 more
openaire +2 more sources

