Results 71 to 80 of about 7,794,647 (291)
Tutorial on Support Vector Machines [PDF]
, 2022 Abstract The aim of this tutorial is to help students grasp the theory and applicability of support vector machines (SVMs). The contribution is an intuitive style tutorial that helped students gain insights into SVM from a unique perspective. An internet search will reveal many videos and articles on SVM, but free peer-reviewed tutorials are ...
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Transmembrane protein topology prediction using support vector machines
BMC Bioinformatics, 2009 Background Alpha-helical transmembrane (TM) proteins are involved in a wide range of important biological processes such as cell signaling, transport of membrane-impermeable molecules, cell-cell communication, cell recognition and cell adhesion. Many are
Nugent Timothy, Jones David T
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Support vector machines for TEC seismo-ionospheric anomalies detection [PDF]
Annales Geophysicae, 2013 Using time series prediction methods, it is possible to pursue the behaviors of earthquake precursors in the future and to announce early warnings when the differences between the predicted value and the observed value exceed the predefined threshold ...
M. Akhoondzadeh
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Versatile vector tools for efficient protein screening across multiple expression systems
FEBS Open Bio, EarlyView.A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu +5 more
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Support vector machines in structural engineering: a review
Journal of Civil Engineering and Management, 2015 Recent development in data processing systems had directed study and research of engineering towards the creation of intelligent systems to evolve models for a wide range of engineering problems.
Abdulkadir Çevik +4 more
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Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells
FEBS Open Bio, EarlyView.Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim +4 more
wiley +1 more source
Threonine 348 regulates the subcellular localization of PTEN
FEBS Open Bio, EarlyView.Thr348 in the C2 domain is a key contributor to PTEN subcellular localization. The PTEN350 fragment and PTENA4 accumulated in the nucleus, whereas PTENK13R,A4 predominantly localized to the plasma membrane. In contrast, substitution of Thr348 with Asp (T348D) disrupted these characteristic localization patterns, resulting in predominant cytoplasmic ...
Takashi Kato, Suzu Tanaka, Miyu Ohashi
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Breast Tumor Susceptibility to Chemotherapy via Support Vector Machines [PDF]
, 2003 Support vector machines (SVMs), utilizing RNA signature measurements, were used to generate a classi er to distinguish breast cancer patients that are partial-responders to chemotherapy treatment, from patients that are nonresponders.
Mangasarian, Olvi, Fung, Glenn
core
The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity
FEBS Open Bio, EarlyView.Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav +4 more
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Predicting Tunnel Squeezing Using Multiclass Support Vector Machines
Advances in Civil Engineering, 2018 Tunnel squeezing is one of the major geological disasters that often occur during the construction of tunnels in weak rock masses subjected to high in situ stresses.
Yang Sun, Xianda Feng, Lingqiang Yang
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