Leveraging User-Friendly Network Approaches to Extract Knowledge From High-Throughput Omics Datasets
Recent technological advances for the acquisition of multi-omics data have allowed an
unprecedented understanding of the complex intricacies of biological systems. In parallel, a …
unprecedented understanding of the complex intricacies of biological systems. In parallel, a …
A feature selection technique for inference of graphs from their known topological properties: Revealing scale-free gene regulatory networks
An important problem in bioinformatics is the inference of gene regulatory networks (GRNs)
from expression profiles. In general, the main limitations faced by GRN inference methods …
from expression profiles. In general, the main limitations faced by GRN inference methods …
Gene expression complex networks: synthesis, identification, and analysis
Thanks to recent advances in molecular biology, allied to an ever increasing amount of
experimental data, the functional state of thousands of genes can now be extracted …
experimental data, the functional state of thousands of genes can now be extracted …
Exploiting medical-expert knowledge via a novel memetic algorithm for the inference of gene regulatory networks
A Segura-Ortiz, J García-Nieto… - … on Computational Science, 2024 - Springer
This study introduces an innovative memetic algorithm for optimizing the consensus of well-
adapted techniques for the inference of gene regulation networks. Building on the …
adapted techniques for the inference of gene regulation networks. Building on the …
Inference of gene regulatory networks by topological prior information and data integration
Abstract The inference of Gene Regulatory Networks (GRNs) is a very challenging problem
which has attracted increasing attention since the development of high-throughput …
which has attracted increasing attention since the development of high-throughput …
Structural identifiability in low-rank matrix factorization
In many signal processing and data mining applications, we need to approximate a given
matrix Y with a low-rank product Y≈ AX. Both matrices A and X are to be determined, but we …
matrix Y with a low-rank product Y≈ AX. Both matrices A and X are to be determined, but we …
An iterative feature selection method for GRNs inference by exploring topological properties
An important problem in bioinformatics is the inference of gene regulatory networks (GRN)
from temporal expression profiles. In general, the main limitations faced by GRN inference …
from temporal expression profiles. In general, the main limitations faced by GRN inference …
Structural identifiability in low-rank matrix factorization
E Fritzilas, YA Rios-Solis, S Rahmann - … 2008 Dalian, China, June 27-29 …, 2008 - Springer
In many signal processing and data mining applications, we need to approximate a given
matrix Y of “sensor measurements” over several experiments by a low-rank product Y≈ A· X …
matrix Y of “sensor measurements” over several experiments by a low-rank product Y≈ A· X …
Fault diagnosis of sensor networked complex structures: a virtual beam-like structure approach
H Wang - 2017 - theses.lib.polyu.edu.hk
Fault detection and localization techniques are among the prominent technical processes
involved in ensuring reliability. This is particularly true with regard to safety related …
involved in ensuring reliability. This is particularly true with regard to safety related …
[PDF][PDF] Bayesian methods for inferring gene regulatory networks and protein profiles from gene expression microarrays data
MS Castillo, MCC Pérez, IMT Luna, DB Navarro - ugr.es
6 Método BFE para el análisis de microarrays 91 6.1 Marco de trabajo Bayesiano...................
92 6.1. 1 Formulación del problema................ 93 6.1. 2 Modelo observacional y modelo …
92 6.1. 1 Formulación del problema................ 93 6.1. 2 Modelo observacional y modelo …