What to do if you want to systematically download images from HPA?
CCNB1xml <- hpaXmlGet("ENSG00000134057")
CCNB1_ab <- hpaXmlAntibody(CCNB1xml)
CCNB1_ab
#> # A tibble: 4 x 4
#> id releaseDate releaseVersion RRID
#> <chr> <chr> <chr> <chr>
#> 1 CAB000115 2006-03-13 1.2 <NA>
#> 2 CAB003804 2006-10-30 2 AB_562272
#> 3 HPA030741 2013-12-05 12 AB_2673586
#> 4 HPA061448 2016-12-04 16 AB_2684522
CCNB1_expr <- hpaXmlTissueExpr(CCNB1xml)
str(CCNB1_expr[[1]])
#> Classes 'tbl_df', 'tbl' and 'data.frame': 331 obs. of 18 variables:
#> $ patientId : chr "1653" "1721" "1725" "598" ...
#> $ age : chr "53" "60" "57" "7" ...
#> $ sex : chr "Male" "Female" "Male" "Male" ...
#> $ staining : chr NA NA NA NA ...
#> $ intensity : chr NA NA NA NA ...
#> $ quantity : chr NA NA NA NA ...
#> $ location : chr NA NA NA NA ...
#> $ imageUrl : chr "http://v18.proteinatlas.org/images/115/2043_B_4_5.jpg" "http://v18.proteinatlas.org/images/115/2043_B_6_5.jpg" "http://v18.proteinatlas.org/images/115/2043_B_5_5.jpg" "http://v18.proteinatlas.org/images/115/2043_A_2_2.jpg" ...
#> $ snomedCode1 : chr "M-00100" "M-00100" "M-00100" "M-00100" ...
#> $ snomedCode2 : chr "T-93000" "T-93000" "T-93000" "T-66000" ...
#> $ snomedCode3 : chr NA NA NA NA ...
#> $ snomedCode4 : chr NA NA NA NA ...
#> $ snomedCode5 : chr NA NA NA NA ...
#> $ tissueDescription1: chr "Normal tissue, NOS" "Normal tissue, NOS" "Normal tissue, NOS" "Normal tissue, NOS" ...
#> $ tissueDescription2: chr "Adrenal gland" "Adrenal gland" "Adrenal gland" "Appendix" ...
#> $ tissueDescription3: chr NA NA NA NA ...
#> $ tissueDescription4: chr NA NA NA NA ...
#> $ tissueDescription5: chr NA NA NA NA ...
While the HPA website displays two images for many of the samples, this method only provides one.
If you wish to filter the results by tissueDescription or snomedCode,
it’s important to note that the value you are searching for may be
present in any of the columns. To address this, you can use the
filter_all(any_vars())
function from the dplyr
package.
Anh Tran, 2018-2023
Please cite: Tran, A.N., Dussaq, A.M., Kennell, T. et al. HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data. BMC Bioinformatics 20, 463 (2019) https://doi.org/10.1186/s12859-019-3059-z