Cargando…
Construction of Condition-Specific Gene Regulatory Network Using Kernel Canonical Correlation Analysis
Gene expression profile or transcriptome can represent cellular states, thus understanding gene regulation mechanisms can help understand how cells respond to external stress. Interaction between transcription factor (TF) and target gene (TG) is one of the representative regulatory mechanisms in cel...
Autores principales: | Jeong, Dabin, Lim, Sangsoo, Lee, Sangseon, Oh, Minsik, Cho, Changyun, Seong, Hyeju, Jung, Woosuk, Kim, Sun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172963/ https://www.ncbi.nlm.nih.gov/pubmed/34093651 http://dx.doi.org/10.3389/fgene.2021.652623 |
Ejemplares similares
-
DRIM: A Web-Based System for Investigating Drug Response at the Molecular Level by Condition-Specific Multi-Omics Data Integration
por: Oh, Minsik, et al.
Publicado: (2020) -
PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI
por: Moon, Ji Hwan, et al.
Publicado: (2017) -
Identification of cell cycle-related regulatory motifs using a kernel canonical correlation analysis
por: Rhee, Je-Keun, et al.
Publicado: (2009) -
Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning With Regulatory Latent Space
por: Kang, Minji, et al.
Publicado: (2020) -
Exploring chemical space for lead identification by propagating on chemical similarity network
por: Yi, Jungseob, et al.
Publicado: (2023)