DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery ; year:2021
Advanced science ; (2021)
- Creator
-
Xu, Haodong
Jia, Peilin
Zhao, Zhongming
- DOI
-
10.1002/advs.202004958
- URN
-
urn:nbn:de:101:1-2021030914025767630367
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Xu, Haodong
- Jia, Peilin
- Zhao, Zhongming
Other Objects (12)
Concordance of copy number loss and down-regulation of tumor suppressor genes: a pan-cancer study
Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm
Directionality of point mutation and 5-methylcytosine deamination rates in the chimpanzee genome
A comparative study of cancer proteins in the human protein-protein interaction network
Searching joint association signals in CATIE schizophrenia genome-wide association studies through a refined integrative network approach
Detecting methylation signatures in neurodegenerative disease by density-based clustering of applications with reducing noise
A short tutorial in analyzing NGS data of cancer genomes for somatic mutation calling
Pathway- and network-based analysis of GWAS data revealed susceptibility gene sets to schizophrenia
CpG islands or CpG clusters: how to identify functional GC-rich regions in a genome?
Differential coexpression network modules observed in human hepatocellular carcinoma progression
Identifying the key genes and pathways in the progression of hepatitis C virus induced hepatocellular carcinoma using a systems biology approach
Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approach
Concordance of copy number loss and down-regulation of tumor suppressor genes: a pan-cancer study
Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm
Directionality of point mutation and 5-methylcytosine deamination rates in the chimpanzee genome
A comparative study of cancer proteins in the human protein-protein interaction network
Searching joint association signals in CATIE schizophrenia genome-wide association studies through a refined integrative network approach
Detecting methylation signatures in neurodegenerative disease by density-based clustering of applications with reducing noise
A short tutorial in analyzing NGS data of cancer genomes for somatic mutation calling
Pathway- and network-based analysis of GWAS data revealed susceptibility gene sets to schizophrenia
CpG islands or CpG clusters: how to identify functional GC-rich regions in a genome?
Differential coexpression network modules observed in human hepatocellular carcinoma progression
Identifying the key genes and pathways in the progression of hepatitis C virus induced hepatocellular carcinoma using a systems biology approach
Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approach
Concordance of copy number loss and down-regulation of tumor suppressor genes: a pan-cancer study
Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm
Directionality of point mutation and 5-methylcytosine deamination rates in the chimpanzee genome
A comparative study of cancer proteins in the human protein-protein interaction network
Searching joint association signals in CATIE schizophrenia genome-wide association studies through a refined integrative network approach
Detecting methylation signatures in neurodegenerative disease by density-based clustering of applications with reducing noise
A short tutorial in analyzing NGS data of cancer genomes for somatic mutation calling
Pathway- and network-based analysis of GWAS data revealed susceptibility gene sets to schizophrenia
CpG islands or CpG clusters: how to identify functional GC-rich regions in a genome?
Differential coexpression network modules observed in human hepatocellular carcinoma progression
Identifying the key genes and pathways in the progression of hepatitis C virus induced hepatocellular carcinoma using a systems biology approach