Results 101 to 110 of about 5,061,029 (315)
Shuju Caiji Yu ChuliAccuracy and efficiency are the key metrics for evaluating the performance of feature selection algorithms. They correspond to the attribute dependence and reduction scale of neighborhood rough sets respectively. Conventional feature selection algorithms
LUO Gongzhi, ZHANG Shanglei
doaj +1 more source
β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1
Molecular Oncology, EarlyView.Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero +8 more
wiley +1 more source
International Journal of Strategic Property Management, 2010 The protection of buildings against fire disasters may require a comparison of alternative fire safety designs. The fire safety solutions can be compared by means of a general methodology known as multi‐attribute selection or multi‐criteria decision ...
Egidijus Rytas Vaidogas +1 more
doaj +1 more source
Multi-Label Attribute Selection of Arrhythmia for Electrocardiogram Signals with Fusion Learning. [PDF]
Bioengineering (Basel), 2022 Yang J +6 more
europepmc +1 more source
Improving Lazy Attribute Selection
Journal of Information and Data Management, 2011 Attribute selection is a data preprocessing step which aims at identifying relevant attributes for a target data mining task - specifically in this article, the classification task. Previously, we have proposed a new attribute selection strategy - based on a lazy learning approach - which postpones the identification of relevant attributes until an ...
Pereira, Rafael B. +4 more
openaire +2 more sources
A generalized options approach to aggregate migration with an application to US federal states [PDF]
This paper develops a tractable dynamic microeconomic model of migration decisions that is aggregated to describe the behavior of interregional migration.
Christian Bayer, Falko Juessen
core
Molecular Oncology, EarlyView.A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
Suite of decision tree-based classification algorithms on cancer gene expression data
Egyptian Informatics Journal, 2011 One of the major challenges in microarray analysis, especially in cancer gene expression profiles, is to determine genes or groups of genes that are highly expressed in cancer cells but not in normal cells. Supervised machine learning techniques are used
Mohmad Badr Al Snousy +3 more
doaj +1 more source
International migration and local employment: analysis of self-selection and earnings in Tajikistan [PDF]
This paper addresses the issue of self-selection of individuals in international labour migration, non-agricultural and agricultural employment in Tajikistan and its link to earnings from these activities.
Atamanov, Aziz, Berg, Marrit van den
core
YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma
Molecular Oncology, EarlyView.The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy +9 more
wiley +1 more source