Facilitating “Omics” for Phenotype Classification Using a User-Friendly AI-Driven Platform: Application in Cancer Prognostics
Precision medicine approaches often rely on complex and integrative analyses of multiple biomarkers from “omics” data to generate insights that can help with either diagnostic, prognostic, or therapeutical decisions. Such insights are often made using machine learning (ML) models that perform sample...
Main Authors: | Uraquitan Lima Filho, Tiago Alexandre Pais, Ricardo Jorge Pais |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | BioMedInformatics |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-7426/3/4/64 |
Similar Items
-
Predicting Cancer Prognostics from Tumour Transcriptomics Using an Auto Machine Learning Approach
by: Ricardo Jorge Pais, et al.
Published: (2023-08-01) -
Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analyses
by: Yunyun Gao, et al.
Published: (2024-02-01) -
ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data
by: Helen O. Masson, et al.
Published: (2023-03-01) -
Facilitating NGS-Based Screening of Genetic Disorders Using -AI-Driven Bioinformatics
by: Ricardo Pais, et al.
Published: (2023-08-01) -
Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups
by: Ricardo J. Pais
Published: (2022-08-01)