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59 changes: 52 additions & 7 deletions R/import_pheno.R
Original file line number Diff line number Diff line change
Expand Up @@ -2011,6 +2011,50 @@ import_phoenix_ast <- function(input,
ast <- process_input(input)
}

# -------------------------------------------------------------------
# 1b. Detect and pivot wide-format Phoenix exports
# Wide format: one row per sample, drugs stored as column triplets
# e.g. "AM (MIC)", "AM (Interp)", "AM (Expert)"
# -------------------------------------------------------------------
mic_cols_wide <- grep("\\((?:MIC|MOC)\\)$", colnames(ast),
ignore.case = TRUE, perl = TRUE, value = TRUE)
if (length(mic_cols_wide) > 1) {
drug_triplet_pat <- "\\s*\\((?:MIC|MOC|Interp|Expert)\\)\\s*$"
meta_cols <- colnames(ast)[!grepl(drug_triplet_pat, colnames(ast),
ignore.case = TRUE, perl = TRUE)]
drug_abbrevs <- trimws(gsub("\\s*\\((?:MIC|MOC)\\)$", "", mic_cols_wide,
ignore.case = TRUE, perl = TRUE))
wide_ast <- ast
ast <- do.call(rbind, lapply(drug_abbrevs, function(drug) {
drug_esc <- gsub("([\\(\\)\\[\\].+*?^${}|])", "\\\\\\1", drug, perl = TRUE)
mic_c <- grep(paste0("^", drug_esc, "\\s*\\((?:MIC|MOC)\\)$"),
colnames(wide_ast), ignore.case = TRUE, perl = TRUE, value = TRUE)[1]
interp_c <- grep(paste0("^", drug_esc, "\\s*\\(Interp\\)$"),
colnames(wide_ast), ignore.case = TRUE, perl = TRUE, value = TRUE)[1]
expert_c <- grep(paste0("^", drug_esc, "\\s*\\(Expert\\)$"),
colnames(wide_ast), ignore.case = TRUE, perl = TRUE, value = TRUE)[1]
row <- wide_ast[, meta_cols, drop = FALSE]
row[["drug"]] <- drug
row[["mic"]] <- if (!is.na(mic_c)) as.character(wide_ast[[mic_c]]) else NA_character_
if (use_expertized && !is.na(expert_c)) {
sir_raw <- as.character(wide_ast[[expert_c]])
if (!is.na(interp_c)) {
interp_raw <- as.character(wide_ast[[interp_c]])
sir_raw[is.na(sir_raw) | sir_raw == ""] <-
interp_raw[is.na(sir_raw) | sir_raw == ""]
}
} else if (!is.na(interp_c)) {
sir_raw <- as.character(wide_ast[[interp_c]])
} else {
sir_raw <- NA_character_
}
row[["Interp"]] <- sir_raw
row
}))
# Drop rows where both MIC and SIR are absent (drug not tested for that sample)
ast <- ast[!(is.na(ast[["mic"]]) & (is.na(ast[["Interp"]]) | ast[["Interp"]] == "")), ]
}

# -------------------------------------------------------------------
# 2. Resolve column names
# -------------------------------------------------------------------
Expand Down Expand Up @@ -2043,7 +2087,7 @@ import_phoenix_ast <- function(input,
}
}
if (is.null(r_sample)) {
r_sample <- .find_col(ast, c("^sample$", "^id$", "^isolate$", "sample_id", "patient_id"))
r_sample <- .find_col(ast, c("^sample$", "^id$", "accession", "sample_id", "patient_id", "^isolate$"))
}
if (is.null(r_species) && is.null(species)) {
r_species <- .find_col(ast, c("^organism$", "^species$", "^spp$", "^pathogen$"))
Expand Down Expand Up @@ -2154,12 +2198,13 @@ import_phoenix_ast <- function(input,
species = species, ab = ab
)

ast %>% relocate(any_of(c(
"id", "drug_agent", "mic", "disk",
"pheno_eucast", "pheno_clsi", "ecoff",
"guideline", "method", "platform", "source",
"pheno_provided", "spp_pheno"
)))
ast %>%
select(any_of(c(
"id", "drug_agent", "mic", "disk",
"pheno_eucast", "pheno_clsi", "ecoff",
"guideline", "method", "platform", "source",
"pheno_provided", "spp_pheno"
)))
}


Expand Down
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