get.assay {rpubchem} | R Documentation |
PubChem provides access to a number of bio-assays which are generally
results obtained from High Throughput Screens (HTS). The number of
observations in a given assay can be as high as 42000. This method
allows one to obtain the assay data for a given assay ID. Assay ID's
can be obtained using a text search using the find.assay.id
function.
get.assay(aid, quiet=TRUE)
aid |
An assay ID |
quiet |
If FALSE the output is verbose |
The assay data are obtained for a variety of targets using a variety of techniques. As a result though each assay dataset contains a set of fixed fields, they can have additional fields.
A data frame with the observations in the rows. The number of columns varies from assay to assay. Any assay will, however, have the following columns:
PUBCHEM.SID |
PubChem SID |
PUBCHEM.CID |
PubChem CID |
PUBCHEM.ACTIVITY.OUTCOME |
Activity outcome |
PUBCHEM.ACTIVITY.SCORE |
Activity score, higher is more active |
PUBCHEM.ASSAYDATA.COMMENT |
Test result specific comment |
description |
A short description of the assay |
comments |
Comments associated with the assay |
types |
A named list where the names are the assay
specific field names. Each element of the list is a
2-element vector containing the description of the field along
with the units. In case the field is unitless the unit is NA |
normal-bracket34bracket-normal
Rajarshi Guha rguha@indiana.edu