Search Results - "Autoencoder-based phenotyping"

Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkers

Authors: Sergouniotis, Panagiotis I. Diakite, Adam Gaurav, Kumar et al.

Source: Sergouniotis, P I, Diakite, A, Gaurav, K, Birney, E, Fitzgerald, T, Allen, N, Aslam, T, Atan, D, Barman, S, Barrett, J, Bishop, P, Black, G, Braithwaite, T, Carare, R, Chakravarthy, U, Chan, M, Chua, S, Day, A, Desai, P, Dhillon, B, Dick, A, Doney, A, Egan, C, Ennis, S, Foster, P, Fruttiger, M, Gallacher, J, Garway-Heath, D, Gibson, J, Guggenheim, J, Hammond, C, Hardcastle, A, Harding, S, Hogg, R, Hysi, P, Keane, P, Khaw, P T, Khawaja, A, Lascaratos, G, Littlejohns, T, Lotery, A, Luben, R, Luthert, P, Macgillivray, T, Mcguinness, B, Mckay, G, Paterson, E, Peto, T, Steel, ....

Subject Terms: Autoencoder, Autoencoder-based phenotyping, ophthalmic images, genetic loci, /dk/atira/pure/subjectarea/asjc/2600/2613, name=Statistics and Probability, /dk/atira/pure/subjectarea/asjc/1300/1303, name=Biochemistry, /dk/atira/pure/subjectarea/asjc/1300/1312, name=Molecular Biology, /dk/atira/pure/subjectarea/asjc/1700/1706, name=Computer Science Applications, /dk/atira/pure/subjectarea/asjc/1700/1703, name=Computational Theory and Mathematics, /dk/atira/pure/subjectarea/asjc/2600/2605, name=Computational Mathematics

File Description: application/pdf

Availability: https://pure.qub.ac.uk/en/publications/8e1bd91d-c990-4881-8a10-c693f4bcfe25
https://doi.org/10.1093/bioinformatics/btae732
https://pureadmin.qub.ac.uk/ws/files/631313619/btae732.pdf

Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkers

Authors: Panagiotis I Sergouniotis Adam Diakite Kumar Gaurav et al.

Source: Bioinformatics
Sergouniotis, P I, Diakite, A, Gaurav, K, Birney, E, Fitzgerald, T, Allen, N, Aslam, T, Atan, D, Barman, S, Barrett, J, Bishop, P, Black, G, Braithwaite, T, Carare, R, Chakravarthy, U, Chan, M, Chua, S, Day, A, Desai, P, Dhillon, B, Dick, A, Doney, A, Egan, C, Ennis, S, Foster, P, Fruttiger, M, Gallacher, J, Garway-Heath, D, Gibson, J, Guggenheim, J, Hammond, C, Hardcastle, A, Harding, S, Hogg, R, Hysi, P, Keane, P, Khaw, P T, Khawaja, A, Lascaratos, G, Littlejohns, T, Lotery, A, Luben, R, Luthert, P, Macgillivray, T, Mcguinness, B, Mckay, G, Paterson, E, Peto, T, Steel, D, Woodside, J & UK Biobank Eye and Vision Consortium 2025, 'Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkers', Bioinformatics, vol. 41, no. 1, btae732. https://doi.org/10.1093/bioinformatics/btae732
Sergouniotis, P, Diakite, A, Gaurav, K, Birney, E & Fitzgerald, T 2024, 'Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkers', Bioinformatics. https://doi.org/10.1101/2023.06.15.23291410, https://doi.org/10.1093/bioinformatics/btae732

Subject Terms: 0301 basic medicine, name=Computational Theory and Mathematics, 0206 medical engineering, 02 engineering and technology, 03 medical and health sciences, ophthalmic images, name=Biochemistry, Autoencoder-based phenotyping, name=Computer Science Applications, Original Paper, name=Molecular Biology, genetic loci, Autoencoder, name=Computational Mathematics, 3. Good health, name=Statistics and Probability

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Access URL: https://pubmed.ncbi.nlm.nih.gov/39657956
https://research.manchester.ac.uk/en/publications/b48c3db7-6708-4450-b42b-657076674ecd
https://doi.org/10.1101/2023.06.15.23291410
https://pure.amsterdamumc.nl/en/publications/c8b99b28-759c-4b73-958b-2bf26800be7f
https://doi.org/10.1093/bioinformatics/btae732
https://pure.qub.ac.uk/en/publications/8e1bd91d-c990-4881-8a10-c693f4bcfe25