MetaNet0.2.7 package

Network Analysis for Omics Data

adjacency_similarity

Calculate Similarity Between Two Graphs via Adjacency Matrices

anno_edge

Use dataframe to annotate edges of an igraph

anno_vertex

Use data.frame to annotate vertexes of metanet

arc_count

Edgelist

arc_taxonomy

Edgelist

as_arc

Layout as a arc

as_circle_tree

Layout as a circle_tree

as_coors

Transfer to a coors object

as_line

Layout as a line

as_multi_layer

Layout as a multi_layer

as_poly_sector

Layout as a multi_layer

as_polyarc

Layout as a polyarc

as_polycircle

Layout as a polycircle

as_polygon

Layout as a polygon

as.ggig

Transfer an igraph object to a ggig

c_net_annotate

Annotate a metanet

c_net_build

Construct a metanet from a corr object

c_net_calculate

Calculate correlation for one or two t(otutab), or distance for one t(...

c_net_compare

Compare Two Networks

c_net_difference

Difference two networks

c_net_ego

Extract ego-centric subnetwork with preserved class attributes

c_net_filter

Filter a network according to some attributes

c_net_from_edgelist

Construct a network from edge_list dataframe

c_net_highlight

Highlight specific nodes in a network

c_net_intersect

Intersect two networks

c_net_layout

Layout coordinates

c_net_load

Load network file

c_net_plot

Plot a metanet

c_net_save

Save network file

c_net_set

Set basic attributes from totu table

c_net_stability

Evaluate the stability of a network

c_net_union

Union two networks

c_net_update

Update a metanet object or transform igraph object to metanet object

cal_sim

Calculate similarity for one t(otutab)

check_tabs

Check tables and extract common samples

clean_igraph

Clean a igraph object

clean_multi_edge_metanet

Clean multi edge metanet to plot

co_net_rmt

MetaNet networks

co_net

MetaNet networks

co_net2

MetaNet networks

Cohesion

Cohesion calculation

compare_rand

Net_pars of many random network

df2net_tree

Transform a dataframe to a network edgelist.

extract_sample_net

Extract each sample network from the whole network

fast_cor

Fast correlation calculation

filter_n_module

Filter some modules as others

fit_power

Fit power-law distribution for an igraph

g_layout_nice

Layout with group nicely

g_layout_poly_sector

Layout with group

g_layout_polygon

Layout with group as a polygon

g_layout

Layout with group

get_community

Get community

get_e

Get edge information

get_group_skeleton

Get skeleton network according to a group

get_module_eigen

Get module_eigen

get_module

Get module

get_n

Get network information

get_v

Get vertex information

grapes-less-than-greater-than-grapes

Assignment pipe

input_cytoscape

Input a cyjs file exported by Cytoscape

input_gephi

Input a graphml file exported by Gephi

is_metanet

Is this object a metanet object?

links_stat

Link summary of the network

metab_g

MetaNet networks metadata

metab

MetaNet networks abundance

MetaNet-package

MetaNet: Network Analysis for Omics Data

micro_g

MetaNet networks metadata

micro

MetaNet networks abundance

module_detect

Detect the modules

module_expression

Calculate the eigenvalue of each module and correlation of nodes and e...

module_net

Generate a n-modules network

multi_net_build

Multi-omics network build

multi1

MetaNet networks

nc

Calculate natural_connectivity

net_par

Calculate all topological indexes of a network

netD3plot

plot use networkD3

olympic_rings_net

Plot olympic rings using network

p.adjust.table

p.adjust apply on a correlation table (matrix or data.frame)

pipe

Pipe operator

plot_e_type_bar

Plot e_type bar

plot_multi_nets

Batch drawing multiple network diagrams

plot_net_degree

Plot degree distribution of networks

plot.ggig

Plot a ggig

plot.metanet_compare

Plot a metanet_compare

plot.metanet

Plot a metanet

plot.rmt_res

Plot a rmt_res

print.cohesion

Print method for 'cohesion' objects

print.coors

Print method for 'coors' objects

print.corr

Print method for 'corr' objects

print.ggig

Print method for 'ggig' objects

print.metanet_compare

Print method for 'metanet_compare' objects

print.metanet

Print method for 'metanet' objects

print.robust

Print method for 'robust' objects

print.robustness

Print method for 'robustness' objects

print.vulnerability

Print method for 'vulnerability' objects

rand_net

Degree distribution comparison with random network

read_corr

Read a corr object

RMT_threshold

Get RMT threshold for a correlation matrix

robust_test

Plot robust

robustness

Plot robustness

save_corr

Save a corr object

show_MetaNet_logo

Show MetaNet logo

smallworldness

Calculate small-world coefficient

spatstat_layout

Generate spatial layout using spatstat

summ_2col

Summaries two columns information

summary_module

Summary module index

summary.corr

Summary method for 'corr' objects

to_module_net

Transformation a network to a module network

transc_g

MetaNet networks metadata

transc

MetaNet networks abundance

transform_coors

Transform the layout of a 'coors' object

twocol_edgelist

Quick build a metanet from two columns table

venn_net

Venn network

vulnerability

Plot vulnerability

zp_analyse

Zi-Pi calculate

Comprehensive network analysis package. Calculate correlation network fastly, accelerate lots of analysis by parallel computing. Support for multi-omics data, search sub-nets fluently. Handle bigger data, more than 10,000 nodes in each omics. Offer various layout method for multi-omics network and some interfaces to other software ('Gephi', 'Cytoscape', 'ggplot2'), easy to visualize. Provide comprehensive topology indexes calculation, including ecological network stability.

  • Maintainer: Chen Peng
  • License: GPL-3
  • Last published: 2025-06-26