Výsledky vyhľadávania - "Sparse Convolutional Denoising Autoencoder (SCDA)"

TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition.

Autori: Bodapati, Jyostna Devi Balaji, Bharadwaj Bagepalli

Zdroj: Multimedia Tools & Applications; Mar2024, Vol. 83 Issue 8, p22099-22117, 19p

STICI: Split-Transformer with integrated convolutions for genotype imputation.

Autori: Mowlaei, Mohammad Erfan Li, Chong Jamialahmadi, Oveis a ďalší

Zdroj: Nature Communications; 2/1/2025, Vol. 16 Issue 1, p1-14, 14p

Predmety: GENETIC variation, LIFE sciences, LINKAGE disequilibrium, GENOTYPES, GENOMES

Deep Learning Methods for Omics Data Imputation.

Autori: Huang, Lei Song, Meng Shen, Hui a ďalší

Zdroj: Biology (2079-7737); Oct2023, Vol. 12 Issue 10, p1313, 26p

Predmety: DEEP learning, GENERATIVE adversarial networks, MISSING data (Statistics), TRANSFORMER models, MULTIOMICS

Sparse Convolutional Denoising Autoencoders for Genotype Imputation.

Autori: Chen, Junjie Shi, Xinghua

Zdroj: Genes; Sep2019, Vol. 10 Issue 9, p652-652, 1p

Predmety: GENOTYPES, MARKOV processes, SPARSE matrices, INFERENTIAL statistics, DEEP learning, LINKAGE (Genetics)

An autoencoder-based deep learning method for genotype imputation

Autori: Meng Song Jonathan Greenbaum Joseph Luttrell a ďalší

Zdroj: Frontiers in Artificial Intelligence, Vol 5 (2022)

Predmety: genotype imputation, deep learning, autoencoder, paired sample t-test, GWAS, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frai.2022.1028978/full; https://doaj.org/toc/2624-8212

Prístupová URL adresa: https://doaj.org/article/1002be0b29d54fc69e4b78b22546b6d0

231 Anomaly detection for breed purity analysis

Autori: Xiaohan Jiang Juan P Steibel

Zdroj: Journal of Animal Science. 102:24-25

Predmety: 0403 veterinary science, 2. Zero hunger, 0402 animal and dairy science, 04 agricultural and veterinary sciences

An autoencoder-based deep learning method for genotype imputation

Autori: Song, Meng Greenbaum, Jonathan Luttrell, Joseph a ďalší

Predmety: Genotype imputation, Deep learning, Autoencoder, Paired sample t-test, GWAS

Popis súboru: 15 pages

Relation: Frontiers Media; http://dx.doi.org/10.3389/frai.2022.1028978; Frontiers in Artificial Intelligence, Vol. 5; Faculty/ Researcher Works; http://hdl.handle.net/20.500.12613/10006

Dostupnosť: https://hdl.handle.net/20.500.12613/10006

A Review of Integrative Imputation for Multi-Omics Datasets.

Autori: Song, Meng Greenbaum, Jonathan Luttrell IV, Joseph a ďalší

Zdroj: Frontiers in Genetics; 10/15/2020, Vol. 11, pN.PAG-N.PAG, 15p

Predmety: MULTIPLE imputation (Statistics), DEEP learning, INDIVIDUALIZED medicine, MATRIX decomposition, STATISTICS, MACHINE learning

Sparse Convolutional Denoising Autoencoders for Genotype Imputation

Autori: Junjie Chen Xinghua Shi

Zdroj: Genes, Vol 10, Iss 9, p 652 (2019)

Predmety: genotype imputation, convolutional neural network, autoencoder, sparse model, deep learning, Genetics, QH426-470

Relation: https://www.mdpi.com/2073-4425/10/9/652; https://doaj.org/toc/2073-4425; https://doaj.org/article/27820baa537147719ce45713616a3bd8

Dostupnosť: https://doi.org/10.3390/genes10090652
https://doaj.org/article/27820baa537147719ce45713616a3bd8

An autoencoder-based deep learning method for genotype imputation

Predmety: Genotype imputation, Paired sample t-test, GWAS, Deep learning, Autoencoder

Pattern Recognition

Autori: Apostolos Antonacopoulos Subhasis Chaudhuri Rama Chellappa a ďalší

Typ zdroja: eBook.

Predmet: Computer vision, Machine learning

Kategórie: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, MATHEMATICS / Probability & Statistics / General