A network approach to analyzing highly recombinant malaria parasite genes
about
Structure and inference in annotated networksEfficiently inferring community structure in bipartite networks.Cluster analysis of weighted bipartite networks: a new copula-based approach.Immune characterization of Plasmodium falciparum parasites with a shared genetic signature in a region of decreasing transmissionGeneration of antigenic diversity in Plasmodium falciparum by structured rearrangement of Var genes during mitosisApe parasite origins of human malaria virulence genes.The ground truth about metadata and community detection in networks.Community detection, link prediction, and layer interdependence in multilayer networks.Nonparametric Bayesian inference of the microcanonical stochastic block model.Phylogeography of var gene repertoires reveals fine-scale geospatial clustering of Plasmodium falciparum populations in a highly endemic area.Similarity-based Regularized Latent Feature Model for Link Prediction in Bipartite Networks.Bipartite network analysis of gene sharings in the microbial world.The Plasmodium falciparum transcriptome in severe malaria reveals altered expression of genes involved in important processes including surface antigen-encoding var genes.Identifying functional groups among the diverse, recombining antigenic var genes of the malaria parasite Plasmodium falciparum from a local community in Ghana.
P2860
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P2860
A network approach to analyzing highly recombinant malaria parasite genes
description
2013 nî lūn-bûn
@nan
2013 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
A network approach to analyzing highly recombinant malaria parasite genes
@ast
A network approach to analyzing highly recombinant malaria parasite genes
@en
type
label
A network approach to analyzing highly recombinant malaria parasite genes
@ast
A network approach to analyzing highly recombinant malaria parasite genes
@en
prefLabel
A network approach to analyzing highly recombinant malaria parasite genes
@ast
A network approach to analyzing highly recombinant malaria parasite genes
@en
P2860
P50
P1476
A network approach to analyzing highly recombinant malaria parasite genes
@en
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003268
P577
2013-10-10T00:00:00Z