Cargando…
Uncovering Effective Explanations for Interactive Genomic Data Analysis
Better tools are needed to enable researchers to quickly identify and explore effective and interpretable feature-based explanations for discriminating multi-class genomic datasets, e.g., healthy versus diseased samples. We develop an interactive exploration tool, GENVISAGE, which rapidly discovers...
Autores principales: | Huang, Silu, Blatti, Charles, Sinha, Saurabh, Parameswaran, Aditya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660438/ https://www.ncbi.nlm.nih.gov/pubmed/33205133 http://dx.doi.org/10.1016/j.patter.2020.100093 |
Ejemplares similares
-
Motif Enrichment Tool
por: Blatti, Charles, et al.
Publicado: (2014) -
Characterizing gene sets using discriminative random walks with restart on heterogeneous biological networks
por: Blatti, Charles, et al.
Publicado: (2016) -
Integrating motif, DNA accessibility and gene expression data to build regulatory maps in an organism
por: Blatti, Charles, et al.
Publicado: (2015) -
SigMat: a classification scheme for gene signature matching
por: Xiao, Jinfeng, et al.
Publicado: (2018) -
Thermodynamics-Based Models of Transcriptional Regulation by Enhancers: The Roles of Synergistic Activation, Cooperative Binding and Short-Range Repression
por: He, Xin, et al.
Publicado: (2010)