Results 141 to 150 of about 5,782,720 (331)

An integrated approach for rare disease detection and classification in Spanish pediatric medical reports

Scientific Reports
Rare disease detection and classification is one of the most significant challenges in the application of Natural Language Processing techniques to the analysis and extraction of information from biomedical texts.
Andres Duque, Lourdes Araujo, Juan Martinez-Romo, María D. Esteban-Vasallo, María-Felicitas Domínguez-Berjón, David Malillos Perez   +5 more
doaj   +1 more source

Online detection of compensatory strategies in human movement with supervised classification: a pilot study. [PDF]

Front Neurorobot, 2023
Das N, Endo S, Patel S, Krewer C, Hirche S.   +4 more
europepmc   +1 more source

Hyperspectral colon tissue cell classification [PDF]

, 2004
A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Nasir M. (Nasir Mahmood), Turner, Martin J., Rajpoot, Kashif   +2 more
core  

Gaussian mixture based semi supervised boosting for imbalanced data classification

, 2016
Semi supervised approaches are practical in problem domain where pattern clustering is supposed to provide good classification. Gaussian Mixture Model (GMM) can approximate arbitrary probability distribution, thus is considered as a dominant tool for ...
Paul, MK, Pal, B, Mahit Kumar Paul, Biprodip Pal   +3 more
core   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source

Semi-supervised classification of fundus images combined with CNN and GCN. [PDF]

J Appl Clin Med Phys, 2022
Duan S, Huang P, Chen M, Wang T, Sun X, Chen M, Dong X, Jiang Z, Li D.   +8 more
europepmc   +1 more source

Adenosine triphosphate as a modulator of protein interactions and stability

FEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Supervised vs. adversarially pre-trained pseudo-label generators for semi-supervised breast cancer patch classification

Frontiers in Artificial Intelligence
Automated breast cancer classification from whole-slide images (WSIs) is hampered by the scarcity of expert-annotated patches and the domain variability inherent to multi-institutional datasets.
Tomiris Zhaksylyk, Aruzhan Imasheva, Beibit Abdikenov, Birzhan Ayanbayev   +3 more
doaj   +1 more source

High-dimensional supervised classification in a context of non-independence of observations to identify the determining SNPs in a phenotype. [PDF]

Infect Dis Model, 2023
Gaye A, Diongue AK, Komen LN, Diallo A, Sylla SN, Diarra M, Talla C, Loucoubar C.   +7 more
europepmc   +1 more source

Counting aggregate classifiers. [PDF]

There are many methods to design classifiers for the supervised classification problem. In this paper, we study the problem of aggregating classifiers. We construct an algorithm to count the number of distinct aggregate classifiers.
Gochet, Willy, Adem, Jan, Spieksma, Frederik   +2 more
core