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Insights into a long life without cancer: The case of the bowhead whale
Molecular Oncology, EarlyView.Long‐lived, large‐bodied organisms have evolved powerful anticancer mechanisms that preserve cellular and tissue integrity across extended lifespans. A recent study by Firsanov et al. shows that greater genome stability is a key factor underlying the remarkable longevity and cancer resistance of one such species, the bowhead whale.
Inés Paniagua, Johanna A. Joyce
wiley +1 more source
Totally Corrective Multiclass Boosting with Binary Weak Learners [PDF]
, 2010 In this work, we propose a new optimization framework for multiclass boosting learning. In the literature, AdaBoost.MO and AdaBoost.ECC are the two successful multiclass boosting algorithms, which can use binary weak learners.
Barnes, Nick +3 more
core
POISSON MIXED MODELS WITH A BOOSTING APPROACH FOR THE ANALYSIS OF COUNT DATA
BarekengBoosting is a powerful technique for enhancing predictive accuracy by iteratively reweighting observations, and is particularly effective in high-dimensional settings and for variable selection.
Ita Wulandari +4 more
doaj +1 more source
Data-Based Sensing and Stochastic Analysis of Biodiesel Production Process
Energies, 2018 Biodiesel production is a field of outstanding prospects due to the renewable nature of its feedstock and little to no overall CO2 emissions to the environment.
Iftikhar Ahmad +4 more
doaj +1 more source
Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending
IEEE Access, 2020 Peer-to-peer (P2P) lending demands effective and explainable credit risk models. Typical machine learning algorithms offer high prediction performance, but most of them lack explanatory power.
Miller Janny Ariza-Garzon +3 more
doaj +1 more source
Journal of Clinical and Translational Science, 2021 Introduction: Identifying predictors of patient outcomes evaluated over time may require modeling interactions among variables while addressing within-subject correlation. Generalized linear mixed models (GLMMs) and generalized estimating equations (GEEs)
Bethany J. Wolf +3 more
doaj +1 more source
Development of human monoclonal antibodies against TARM1 by yeast display
FEBS Open Bio, EarlyView.Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe +5 more
wiley +1 more source
Generalized Boosting Algorithms for Convex Optimization [PDF]
, 2011 Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks, we analyze gradient-based descent algorithms for boosting with respect to ...
Bagnell, J. Andrew, Grubb, Alexander
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Developing a scoring function for NMR structure-based assignments using machine learning [PDF]
, 2010 Determining the assignment of signals received from the ex- periments (peaks) to speci_c nuclei of the target molecule in Nuclear Magnetic Resonance (NMR1) spectroscopy is an important challenge.
Apaydın, Mehmet Serkan +8 more
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Predicting football match outcomes is a significant challenge in sports analytics, requiring models that are both accurate and resilient. This study evaluates the effectiveness of ensemble techniques, specifically Bagging and Boosting, in enhancing the ...
Agus Perdana Windarto +2 more
doaj +1 more source