View source: R/select_cell_lines.R
select_cell_lines | R Documentation |
select_cell_lines()
assigns cancer cell lines to either Control
groups or one of the following mutant groups: HomDel
,
T-HetDel
, HetDel
, Amplified
, or Others
(see details).
select_cell_lines(
input_gene = NULL,
input_aa_change = NULL,
input_disease = NULL,
input_disease_subtype = NULL,
data_dir = NULL
)
input_gene |
string as Hugo Symbol |
input_aa_change |
string Amino acid change (eg. "A387A"). input_gene must be specified |
input_disease |
string Cancer type listed in |
input_disease_subtype |
string Cancer subtype listed in |
data_dir |
string Path to GINIR_data |
Mutant groups in more detail when only input_gene
is defined:
Control
cell lines do not harbor any single nucleotide variations (SNVs) or insertions and deletions (InDels) with a neutral copy number (CN).
HomDel
cell lines harbor one or more homozygous deleterious SNVs or have deep CN loss.
T-HetDel
cell lines harbor two or more heterozygous deleterious SNVs/InDels with neutral or CN loss.
HetDel
cell lines harbor one heterozygous deleterious SNV/InDel with neutral CN, or no SNV/InDel with CN loss.
Amplified
cell lines harbor no SNVs/InDels with increased CN.
Others
cell lines harbor deleterious SNVs with increased CN.
If input_aa_change' is also defined:
Control
cell lines do not harbor any single nucleotide variations (SNVs) or insertions and deletions (InDels) with a neutral copy number (CN).
HomAlt
cell lines harbor a homozygous alteration for the specified mutation.
HetAlt
cell lines harbor a heterozygous alteration for the specified mutation.
_CNneutral
, _CNamplified
, and _CNloss
define copy number (CN) status of the above mutation states.
Others
cell lines that do not meet above criteria.
Data frame containing a summary of mutations found in cell lines and their control and mutant group assignments.
gretta_data_dir <- './GRETTA_example/'
gretta_output_dir <- './GRETTA_example_output/'
if(!dir.exists(gretta_data_dir)){
download_example_data(".")
}
select_cell_lines(input_gene = "ARID1A",
input_disease = "Lung Cancer",
data_dir = gretta_data_dir)
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