Results 41 to 50 of about 469,122 (324)

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Communication-Efficient Distributed Learning for High-Dimensional Support Vector Machines

Mathematics, 2022
Distributed learning has received increasing attention in recent years and is a special need for the era of big data. For a support vector machine (SVM), a powerful binary classification tool, we proposed a novel efficient distributed sparse learning ...
Xingcai Zhou, Hao Shen
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Bird Species Recognition Using Support Vector Machines

EURASIP Journal on Advances in Signal Processing, 2007
Automatic identification of bird species by their vocalization is studied in this paper. Bird sounds are represented with two different parametric representations: (i) the mel-cepstrum parameters and (ii) a set of low-level signal parameters, both of ...
Seppo Fagerlund
doaj   +1 more source

Mean-Variance optimal portfolio selection integrated with support vector and fuzzy support vector machines [PDF]

Journal of Fuzzy Extension and Applications
This study introduces a novel approach integrating a support vector machine (SVM) with an optimal portfolio construction model. Leveraging the Radial Basis Function (RBF) kernel, the SVM identifies assets with higher growth potential.
Simrandeep Kaur, Arti Singh, Abha Aggarwal   +2 more
doaj   +1 more source

Efficient Diagnosis of Liver Disease using Support Vector Machine Optimized with Crows Search Algorithm [PDF]

EAI Endorsed Transactions on Energy Web, 2020
The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain.
D. Devikanniga, Arulmurugan Ramu, Anandakumar Haldorai   +2 more
doaj   +1 more source

Rejoinder to "Support Vector Machines with Applications"

, 2006
Rejoinder to ``Support Vector Machines with Applications'' [math.ST/0612817]Comment: Published at http://dx.doi.org/10.1214/088342306000000501 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://
Moguerza, Javier M., Muñoz, Alberto
core   +1 more source

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

FEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan, Bethany C. Guerra, Selina Uranga, Jessica M. Cardin, Steven E. Riechman, Mariana Janini Gomes, James D. Fluckey   +6 more
wiley   +1 more source

Modelling Proteolytic Enzymes With Support Vector Machines

Journal of Integrative Bioinformatics, 2011
The strong activity felt in proteomics during the last decade created huge amounts of data, for which the knowledge is limited. Retrieving information from these proteins is the next step. For that, computational techniques are indispensable.
Morgado Lionel, Pereira Carlos, Veríssimo Paula, Dourado António   +3 more
doaj   +1 more source

SmallTalk: a novel small‐sized fusion tag for peptide expression and purification

FEBS Open Bio, EarlyView.
The SmallTalk fusion tag allows for the efficient expression and purification of soluble recombinant proteins or peptides in Escherichia coli. Testing with SmallTalk‐GFP confirmed that the proteins were soluble and folded correctly, while SmallTalk‐Bin1b maintained its antimicrobial activity against various bacterial isolates. This streamlined workflow
Atika Tariq, Nestor G. Casillas‐Vega, Alma Gomez‐Loredo, Xristo Zarate   +3 more
wiley   +1 more source