Results 91 to 100 of about 17,239,975 (301)

Partially linear censored quantile regression [PDF]

, 2009
Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
Portnoy, S., Neocleous, T.
core   +1 more source

Random regression analyses using B-spline functions to model growth of Nellore cattle

Animal, 2012
The objective of this study was to estimate (co)variance components using random regression on B-spline functions to weight records obtained from birth to adulthood.
A.A. Boligon, M.E.Z. Mercadante, R.B. Lôbo, F. Baldi, L.G. Albuquerque   +4 more
doaj   +1 more source

Effects of IGFBP4 deficiency on human preadipocyte proliferation and differentiation through the IGF1R/AKT pathway

FEBS Open Bio, EarlyView.
IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo, Sandy Richter, Christoph Bach, Wieland Kiess, Anna Kirstein, Diana Le Duc, Antje Garten   +6 more
wiley   +1 more source

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

, 2020
Persistent risks of extreme weather events including droughts and floods due to climate change require precise and timely rainfall forecasting. Yet, the naturally occurring non-stationarity entrenched within the rainfall time series lowers the model ...
Prasad, Ramendra, Yaseen, Z., Ali, Mumtaz, Xiang, Yong   +3 more
core   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

FEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph, Andrea B. Pham, Kiara E. Bornes, Razan H. Hammad, Chelsea A. Rousseve‐Ross, Thomas M. Huckaba, Terry J. Watt, Tasha B. Toro   +7 more
wiley   +1 more source

A novel analysis of random forest regression model for wind speed forecasting

Cogent Engineering
This article uses a random forest regression (RFR) model to analyze wind speed forecasting. Wind energy is one of the more critical potentials in renewable energy sources for producing a clean and safe environment. Accurate and stable wind forecasting is
Sathyaraj J, Sankardoss V
doaj   +1 more source

Longitudinal genome-wide association analysis using a single-step random regression model for height in Japanese Holstein cattle. [PDF]

JDS Commun, 2023
Baba T, Morota G, Kawakami J, Gotoh Y, Oka T, Masuda Y, Brito LF, Cockrum RR, Kawahara T.   +8 more
europepmc   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Bagging ensemble selection for regression [PDF]

, 2012
Bagging ensemble selection (BES) is a relatively new ensemble learning strategy. The strategy can be seen as an ensemble of the ensemble selection from libraries of models (ES) strategy. Previous experimental results on binary classification problems have
Quan Sun, Pfahringer, Bernhard, Bernhard Pfahringer, Sun, Quan   +3 more
core   +1 more source

Perbandingan Kinerja Model Prediksi Cuaca: Random Forest, Support Vector Regression, dan XGBoost

Edumatic
Accurate weather predictions are essential to mitigate the impacts of weather changes and support better planning in sectors such as agriculture, transportation, and tourism.
Ahmad Syahreza, Novita Kurnia Ningrum, Muhammad Anjas Syahrazy   +2 more
doaj   +1 more source