Výsledky vyhledávání - multi-omics integration algorithms

Benchmarking algorithms for single-cell multi-omics prediction and integration

Autoři: Yinlei Hu Siyuan Wan Yuanhanyu Luo a další

Zdroj: Nature Methods. 21:2182-2194

Témata: Proteomics, Benchmarking, Humans, Computational Biology, Genomics, Single-Cell Analysis, Transcriptome, Multiomics, Algorithms, Chromatin

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39322753

Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data

Autoři: Chuxi Xiao Yixin Chen Qiuchen Meng a další

Zdroj: Brief Bioinform

Témata: 0301 basic medicine, 03 medical and health sciences, Cell Cycle, 0206 medical engineering, RNA, Review, 02 engineering and technology, Multiomics, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38493343

scGT:integration algorithm for single-cell RNA-seq and ATAC-seq based on graph transformer Open Access.

Autoři: Qi, Yunjing Kan, Yulong Qi, Jing a další

Zdroj: Bioinformatics. Jul2025, Vol. 41 Issue 7, p1-12. 12p.

Témata: *DATA integration, *MULTIOMICS, *RNA sequencing, *TRANSFORMER models, *BIOLOGICAL variation

Data integration of longitudinal single-cell with multi-omics data to enable precision medicine for complex diseases

Autoři: Mihajlović, Katarina

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Thesis Advisors: Przulj, Natasa, Larrosa Bondia, Francisco Javier

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: bioinformatics, network biology, multi-omics, data integration, single-cell, precision medicine, machine learning, complex diseases, Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Enginyeria biomèdica, 004 - Informàtica, 616 - Patologia. Medicina clínica. Oncologia

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/694728
https://dx.doi.org/10.5821/dissertation-2117-432840

Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data

Autoři: Chuxi Xiao Yixin Chen Lei Wei a další

Integration of Multiomics Markers for Invasive IPMNs Identification Through the Set-up of the INvasive Cyst bIomarkers Detection (INCITE) Consortium (INCITE)

Autoři: University of Pisa Casa Sollievo della Sofferenza IRCCS The Mediterranean Institute for Transplantation and Advanced Specialized Therapies a další

Přispěvatelé: University of Pisa Casa Sollievo della Sofferenza IRCCS The Mediterranean Institute for Transplantation and Advanced Specialized Therapies a další

Zdroj: Integration of Multiomics Markers for Invasive IPMNs Identification Through the Set-up of the INvasive Cyst bIomarkers Detection (INCITE) Consortium

Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data.

Autoři: Xiao, Chuxi Chen, Yixin Meng, Qiuchen a další

Zdroj: Briefings in Bioinformatics; Mar2024, Vol. 25 Issue 2, p1-13, 13p

Témata: MULTIOMICS, RNA, DATA integration, ALGORITHMS, DATA visualization

A denoised multi-omics integration framework for cancer subtype classification and survival prediction

Autoři: Jiali Pang Bilin Liang Ruifeng Ding a další

Zdroj: Briefings in Bioinformatics. 24

Témata: Neoplasms, Humans, Genomics, Multiomics, Algorithms, 3. Good health

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37594302

Multimodal data integration in early-stage breast cancer

Autoři: Arnau Llinas-Bertran Maria Butjosa-Espín Vittoria Barberi a další

Přispěvatelé: Arnau Llinas-Bertran Maria Butjosa-Espín Vittoria Barberi a další

Zdroj: Breast
Scientia
Scientia. Dipòsit d'Informació Digital del Departament de Salut
instname
Breast, Vol 80, Iss, Pp 103892-(2025)

Témata: Mama - Càncer - Prognosi, CHEMICALS AND DRUGS::Biological Factors::Biomarkers::Biomarkers, Tumor, Otros calificadores::Otros calificadores::Otros calificadores::/farmacoterapia, COMPUESTOS QUÍMICOS Y DROGAS::factores biológicos::biomarcadores::marcadores tumorales, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Prognosis::Neoplasm Staging, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::pronóstico::estadificación de neoplasias, Breast Neoplasms, Machine learning, Multimodal data integration, Biomarkers, Tumor, Humans, Article(s) from the Special Issue on: Translational Oncology, Edited by Dr. Serena Di Cosimo, RC254-282, Mama - Càncer - Imatgeria, Neoplasm Staging, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Multimodal Imaging, Multi-omics, Other subheadings::Other subheadings::Other subheadings::/drug therapy, Marcadors tumorals, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Deep learning, Prognosis, Mama - Càncer - Tractament, Data integration, Female, Stratification, ENFERMEDADES::neoplasias::neoplasias por localización::neoplasias de la mama, DISEASES::Neoplasms::Neoplasms by Site::Breast Neoplasms, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::imagen multimodal, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39922065
http://hdl.handle.net/11351/12829
https://doaj.org/article/92a595f09e8f4102908c394b3d56f390

iSubGen generates integrative disease subtypes by pairwise similarity assessment

Autoři: Fox, Natalie S Tian, Mao Markowitz, Alexander L a další

Zdroj: Cell Reports Methods. 4(11)

Témata: Biological Sciences, Bioinformatics and Computational Biology, 2.1 Biological and endogenous factors, Humans, Algorithms, Neoplasms, Software, Computational Biology, Proteomics, Transcriptome, Gene Expression Profiling, CP: Cancer biology, CP: Systems biology, algorithm, autoencoder, biomarkers, cancer biology, data correlation, data integration, multi-omics, pattern discovery, subtype discovery, system biology

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4z48q12t
https://escholarship.org/content/qt4z48q12t/qt4z48q12t.pdf

Supervised multiple kernel learning approaches for multi-omics data integration.

Autoři: Briscik, Mitja Tazza, Gabriele Vidács, László a další

Zdroj: BioData Mining; 11/23/2024, Vol. 17 Issue 1, p1-25, 25p

Témata: DATA integration, SUPPORT vector machines, MULTIOMICS, DATA mining, PREDICTION models, DEEP learning

Multi-omics integration reveals Chr1 associated QTL mediating backfat thickness in pigs.

Autoři: Yu, Naibiao Cui, Dengshuai Li, Chenyu a další

Zdroj: Journal of Animal Science & Biotechnology. 10/20/2025, Vol. 16 Issue 1, p1-17. 17p.

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning

Autoři: Spooner, Annette Moridani, Mohammad Karimi Safarchi, Azadeh a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2409.13791

Network-Based Multiomics Data Integration and Disease Marker Discovery Using Probabilistic Graph Modeling

Autoři: Tripp, Bridget Ann

Zdroj: ETD collection for University of Nebraska-Lincoln

Témata: Bioinformatics|Biology|Immunology|Neurosciences, text

URL: https://digitalcommons.unl.edu/dissertations/AAI30489205

A denoised multi-omics integration framework for cancer subtype classification and survival prediction.

Autoři: Pang, Jiali Liang, Bilin Ding, Ruifeng a další

Zdroj: Briefings in Bioinformatics; Sep2023, Vol. 24 Issue 5, p1-12, 12p

Témata: MULTIOMICS, TUMOR classification, MACHINE learning, FEATURE selection, RENAL cancer, NUCLEOTIDE sequencing

Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers.

Autoři: Hatamikia, Sepideh Nougaret, Stephanie Panico, Camilla a další

Témata: Artificial intelligence, Biomarkers, Diagnostic imaging, Multiomics, Ovarian neoplasms, Humans, Female, Artificial Intelligence, Ovarian Neoplasms, Algorithms, Tumor Microenvironment, Article

URL: https://www.repository.cam.ac.uk/handle/1810/361309

Assessment the Cancer Risk of Indeterminate Thyroid Nodules Through Integration of Clinical, Ultrasonographic and Multiomic Features (THYOMICS)

Autoři: Prof. Pietro Giorgio Calò Dott. Gian Luigi Canu Fabio Medas, Associate Professor

Přispěvatelé: Prof. Pietro Giorgio Calò Dott. Gian Luigi Canu Fabio Medas, Associate Professor

Zdroj: A Novel, Multimodal, Machine-learning Grounded Approach to Assess the Oncological Risk of Indeterminate Thyroid Nodules

Personalized graph feature-based multi-omics data integration for cancer subtype identification

Autoři: Islam, Saiful Hasan, Md. Nahid

Témata: Quantitative Biology - Quantitative Methods, Computer Science - Social and Information Networks, Quantitative Biology - Genomics, 92B05, 62H30, 62P10, 68T09, text

URL: http://arxiv.org/abs/2408.08832

Benchmarking algorithms for single-cell multi-omics prediction and integration

Autoři: Hu, Yinlei Wan, Siyuan Luo, Yuanhanyu a další

Relation: https://github.com/lyhyis0/MultiomeBenchmarking/tree/ver.1.0.0; https://zenodo.org/records/10540843; oai:zenodo.org:10540843; https://doi.org/10.5281/zenodo.10540843

Dostupnost: https://doi.org/10.5281/zenodo.10540843
https://zenodo.org/records/10540843

BiomiX, a User-Friendly Bioinformatic Tool for Automatized Multiomics Data Analysis and Integration

Autoři: Iperi, C Fernández-Ochoa, Á Barturen, G a další

Zdroj: bioRxiv.

Přístupová URL adresa: http://kipublications.ki.se/Default.aspx?queryparsed=id: