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source("product/MPI/src/summarize_map.R") |
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check_function_prediction_pivot <- function(dataset_tag, verbose = FALSE) { |
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if (verbose) { |
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"Checking function prediction pivot for dataset ", dataset_tag, "\n", sep = "") |
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} |
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dataset_long <- arrow::read_parquet( |
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paste0("intermediate/", dataset_tag, "_function_predictions.parquet")) |
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dataset_wide <- dataset_long |> |
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dplyr::select(-term_name) |> |
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tidyr::pivot_wider( |
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id_cols = id, |
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names_from = term_id, |
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values_from = Y_hat) |
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sum(is.na(dataset_wide)) |
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} |
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check_function_prediction_pivot("rosetta_high_quality") |
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check_function_prediction_pivot("rosetta_low_quality") |
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check_function_prediction_pivot("dmpfold_high_quality") |
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check_function_prediction_pivot("dmpfold_low_quality") |
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check_id_consistency <- function(dataset_tag, verbose = FALSE) { |
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if (verbose) { |
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cat("Loading model ids...\n") |
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} |
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ids_model <- arrow::read_parquet( |
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paste0("intermediate/", dataset_tag, "_models.parquet"), |
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col_select = "id") |
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if (verbose) { |
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cat("Loading function prediction ids...\n") |
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} |
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ids_anno <- arrow::read_parquet( |
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paste0("intermediate/", dataset_tag, "_function_predictions.parquet"), |
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col_select = "id") |> |
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dplyr::distinct(id) |
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problems <- dplyr::full_join( |
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ids_model |> |
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dplyr::mutate(model_id = id), |
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ids_anno |> |
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dplyr::mutate(anno_id = id), |
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by = "id") |> |
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summarize_map( |
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x_cols = model_id, |
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y_cols = anno_id, |
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verbose = verbose) |
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problems |
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} |
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check_id_consistency("rosetta_high_quality") |
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check_id_consistency("rosetta_low_quality") |
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check_id_consistency("dmpfold_high_quality") |
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check_id_consistency("dmpfold_low_quality") |
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