Results 91 to 100 of about 77,382 (200)

Data integration and predictive modeling methods for multi-omics datasets

, 2018
We provide an overview of opportunities and challenges in multi-omics predictive analytics with particular emphasis on data integration and machine learning methods.
Minseung Kim, Ilias Tagkopoulos
core   +1 more source

Cooperative integration of spatially resolved multi-omics data with COSMOS

Nature Communications
Recent advancements in biological technologies have enabled the measurement of spatially resolved multi-omics data, yet computational algorithms for this purpose are scarce. Existing tools target either single omics or lack spatial integration.
Yuansheng Zhou, Xue Xiao, Lei Dong, Chen Tang, Guanghua Xiao, Lin Xu   +5 more
doaj   +1 more source

Integration of omics and non-omics data in pancreatic cancer research

, 2018
Curs 2017-2018Background: With the wide-spreading in high-throughput technologies and the arrival of omics era, new bioinformatics tools are available for the integration of different data types.
Alarcón Moreno, Pablo
core  

Advancing Agricultural Resilience: Omics Strategies Unveiling Molecular Mechanisms for Disease Resistance In Vegetables [PDF]

In modern agriculture, the cultivation of vegetables faces significant challenges due to the relentless onslaught of various diseases that can lead to substantial crop losses.
Ali Hassan Khan, Muhammad Tanees Chaudhary   +1 more
core   +1 more source

Multi-omics strategies for biomarker discovery and application in personalized oncology

Molecular Biomedicine
Multi-omics strategies, integrating genomics, transcriptomics, proteomics, and metabolomics, have revolutionized biomarker discovery and enabled novel applications in personalized oncology.
Ziming Jiang, Haoxuan Zhang, Yibo Gao, Yingli Sun   +3 more
doaj   +1 more source

Software for the integration of multi-omics experiments in Bioconductor

, 2017
Multi-omics experiments are increasingly commonplace in biomedical research, and add layers of complexity to experimental design, data integration, and analysis.
Rimsha Azhar, Carmen Rodriguez Cabrera, Tiffany Chan, Martin Morgan, Hanish Kodali, Lucas Schiffer, Angela Re, Marcel Ramos, Aedin C. Culhane, Azfar Basunia, Vincent Carey, Philip Chapman, Sean Davis, Benjamin Haibe-Kains, Marie Stephie Louis, Markus Riester, Levi Waldron, David Gomez-Cabrero, Arvind Singh Mer, Kasper D. Hansen   +19 more
core   +1 more source

Editorial: Mathematical and computational methods in physiology

Frontiers in Physiology, 2022
Pedro Femia, Pedro Femia, Juan Melchor, Juan Melchor, Juan Melchor, Pedro Carmona-Saez, Pedro Carmona-Saez, Pedro Carmona-Saez   +7 more
doaj   +1 more source

Integration of multi-omics layers empowers precision diagnosis through unveiling pathogenic mechanisms on maple syrup urine disease

Maple syrup urine disease (MSUD) is a rare inherited metabolic disorder characterized by deficient activity of the branched-chain alpha-ketoacid dehydrogenase (BCKDH) complex, required to metabolize the amino acids leucine, isoleucine, and valine ...
Urdinguio, Rocío G., Pérez, Belén, Correcher, Patricia, Soriano-Sexto, Alejandro, Ugarte, Magdalena, Fernández, Agustín F., Rodríguez-Pombo, Pilar, Castejón-Fernández, Natalia, Fraga, Mario F., Sainz-Ledo, Lidia, Beccari, Leonardo, Alba-Linares, Juan J., Tejedor, Juan Ramón   +12 more
core   +1 more source

Supervised multiple kernel learning approaches for multi-omics data integration

Background Advances in high-throughput technologies have originated an ever-increasing availability of omics datasets. The integration of multiple heterogeneous data sources is currently an issue for biology and bioinformatics.
Dillies, Marie-Agnès, Sébastien Déjean, Briscik, Mitja, Déjean, Sébastien, Marie-Agnès Dillies, Vidács, László, László Vidács, Mitja Briscik, Gabriele Tazza, Tazza, Gabriele   +9 more
core   +2 more sources

Integrating tumor and immune cell transcriptomics to predict immune checkpoint inhibitor primary resistance in metastatic melanoma

OncoImmunology
The emergence of immune checkpoint inhibitors (ICIs) has transformed the treatment landscape of metastatic melanoma. However, despite its success, reliable biomarkers for predicting primary resistance are not available in clinical practice.
Juan Luis Onieva, Elisabeth Pérez-Ruiz, Ville Vilkki, Miguel Berciano-Guerrero, Laura Figueroa-Ortiz, Manuel Zalabardo, Beatriz Martínez-Gálvez, Isabel Barragán, Antonio Rueda-Domínguez   +8 more
doaj   +1 more source