Cargando…

Latent network-based representations for large-scale gene expression data analysis

BACKGROUND: With the recent advancements in high-throughput experimental procedures, biologists are gathering huge quantities of data. A main priority in bioinformatics and computational biology is to provide system level analytical tools capable of meeting an ever-growing production of high-through...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dhifli, Wajdi, Puig, Julia, Dispot, Aurélien, Elati, Mohamed
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394327/ https://www.ncbi.nlm.nih.gov/pubmed/30717663 http://dx.doi.org/10.1186/s12859-018-2481-y

Ejemplares similares

Identification of putative master regulators in rheumatoid arthritis synovial fibroblasts using gene expression data and network inference
por: Zerrouk, Naouel, et al.
Publicado: (2020)

ProtNN: fast and accurate protein 3D-structure classification in structural and topological space
por: Dhifli, Wajdi, et al.
Publicado: (2016)

From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19
por: Pekpe, K. Midzodzi, et al.
Publicado: (2021)

Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
por: Way, Gregory P., et al.
Publicado: (2020)

Learning biologically-interpretable latent representations for gene expression data: Pathway Activity Score Learning Algorithm
por: Karagiannaki, Ioulia, et al.
Publicado: (2022)

A model for gene deregulation detection using expression data
por: Picchetti, Thomas, et al.
Publicado: (2015)

Bagging Statistical Network Inference from Large-Scale Gene Expression Data
por: de Matos Simoes, Ricardo, et al.
Publicado: (2012)

Biological representation of chemicals using latent target interaction profile
por: Ayed, Mohamed, et al.
Publicado: (2019)

GPLEXUS: enabling genome-scale gene association network reconstruction and analysis for very large-scale expression data
por: Li, Jun, et al.
Publicado: (2014)

A Latent Factor Analysis of Working Memory Measures Using Large-Scale Data
por: Waris, Otto, et al.
Publicado: (2017)

Deep convolutional and conditional neural networks for large-scale genomic data generation
por: Yelmen, Burak, et al.
Publicado: (2023)

Investigating internal migration with network analysis and latent space representations: an application to Turkey
por: Gürsoy, Furkan, et al.
Publicado: (2022)

Integrating transcriptional activity in genome-scale models of metabolism
por: Banos, Daniel Trejo, et al.
Publicado: (2017)

Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network
por: Yi, Hai-Cheng, et al.
Publicado: (2020)

Latent representation learning in biology and translational medicine
por: Kopf, Andreas, et al.
Publicado: (2021)

Multimodal sensor fusion in the latent representation space
por: Piechocki, Robert J., et al.
Publicado: (2023)

Predictive learning as a network mechanism for extracting low-dimensional latent space representations
por: Recanatesi, Stefano, et al.
Publicado: (2021)

Sequence biases in large scale gene expression profiling data
por: Siddiqui, Asim S., et al.
Publicado: (2006)

Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation
por: Gan, Bin, et al.
Publicado: (2014)

Collaborative representation-based classification of microarray gene expression data
por: Shen, Lizhen, et al.
Publicado: (2017)

Neural Schematics as a unified formal graphical representation of large-scale Neural Network Structures
por: Ehrlich, Matthias, et al.
Publicado: (2013)

Gene Feature Extraction Based on Nonnegative Dual Graph Regularized Latent Low-Rank Representation
por: Yang, Guoliang, et al.
Publicado: (2017)

Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data
por: Matos Simoes, Ricardo de, et al.
Publicado: (2015)

CoRegNet: reconstruction and integrated analysis of co-regulatory networks
por: Nicolle, Rémy, et al.
Publicado: (2015)

A study on the clusterability of latent representations in image pipelines
por: Wheeldon, Adrian, et al.
Publicado: (2023)

Cancer mutational signatures representation by large-scale context embedding
por: Zhang, Yang, et al.
Publicado: (2020)

Learning local equivariant representations for large-scale atomistic dynamics
por: Musaelian, Albert, et al.
Publicado: (2023)

Large-scale neural network computations and multivariate representations during approach-avoidance conflict decision-making
por: Moughrabi, Nicole, et al.
Publicado: (2022)

SCANPY: large-scale single-cell gene expression data analysis
por: Wolf, F. Alexander, et al.
Publicado: (2018)

Single-cell gene regulation network inference by large-scale data integration
por: Dong, Xin, et al.
Publicado: (2022)

Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
por: Schreiber, Jacob, et al.
Publicado: (2020)

Latent cellular analysis robustly reveals subtle diversity in large-scale single-cell RNA-seq data
por: Cheng, Changde, et al.
Publicado: (2019)

Sparse Representation for Classification of Tumors Using Gene Expression Data
por: Hang, Xiyi, et al.
Publicado: (2009)

LatLRR-FCNs: Latent Low-Rank Representation With Fully Convolutional Networks for Medical Image Fusion
por: Xu, Zhengyuan, et al.
Publicado: (2021)

Affective Latent Representation of Acoustic and Lexical Features for Emotion Recognition
por: Kim, Eesung, et al.
Publicado: (2020)

Predicting chemical ecotoxicity by learning latent space chemical representations
por: Gao, Feng, et al.
Publicado: (2022)

Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection
por: Oluwasanmi, Ariyo, et al.
Publicado: (2021)

Unsupervised learning reveals interpretable latent representations for translucency perception
por: Liao, Chenxi, et al.
Publicado: (2023)

Symbolic and Graphical Representation Scheme for Sensors Deployed in Large-Scale Structures
por: Park, Hyo Seon, et al.
Publicado: (2013)

Fluorescence microscopy tensor imaging representations for large-scale dataset analysis
por: Vinegoni, Claudio, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_85v9pl395p4bd85f8kfkss34qs