Hola comunidad JMP,
Necesito recuperar información biológica del sitio web público Human Protein Atlas en función de un identificador único.
Hasta ahora, puedo recuperar y analizar fácilmente el archivo JSON del sitio web usando el código simple a continuación.
Names DEfault to Here (1);
ID = "ENSG00000108691";
HTM_c = "https://www.proteinatlas.org/XXX.json";
HTM_str = Substitute (HTM_c, "XXX", ID);
request = New HTTP Request (URL (HTM_str), Method ("Get"));
temp = request << send ();
js_par = Parse JSON (temp);
El problema surge cuando trato de recopilar solo una parte seleccionada del documento JSON (ver adjunto):
1) El comando "js_par << Obtener claves" solo recupera las claves de nivel superior, dejando las "claves secundarias" no disponibles
2) El comando "js_par << Obtener valores" no devuelve los valores reales, sino el formato de los "contenedores" de datos
Por lo tanto, ¿cómo puedo desglosar el documento JSON para permitir la recuperación de claves y valores específicos?
Cualquier pista sería bienvenida.
Gracias.
Mejor,
TS
Vea si el asistente de importación json hace lo que necesita. Hay varias formas de atacarlo; una solución JSL podría verse como
dt = open("z:/ENSG00000108691.json",guess("huge", stack(1)),jsonwizard(0));
cambie el 0 por un 1 para ver el cuadro de diálogo del asistente.
este archivo parece tener 8 registros con la mejor opción de suposición. Si eso no coincide con sus expectativas, es posible que desee seleccionar manualmente lo que desea a través de la GUI, pero no estoy seguro de que pueda hacer mucho más que eliminar las columnas innecesarias.
(archivo->abrir, seleccione la extensión .json, seleccione los datos usando la vista previa, abra).
json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.json (and XML) dialogs are almost identical.Los diálogos json (y XML) son casi idénticos.
En realidad, después de reformatear (el código de Visual Studio funcionó), probablemente tenga más sentido usar stack(0) y obtener 1 fila. Cada columna es una lista de atributos para esa columna (supongo). La columna de sinónimos tiene 8 posibilidades. La clase de proteínas tiene 5 posibilidades. No deben estar alineados en filas como muestra el primer ejemplo, supongo que no es lo que se pretendía.
La tabla tendrá columnas de expresión en lugar de columnas de caracteres con delimitadores si los solicita:
[
{
"Gene": "CCL2",
"Gene synonym": [
"GDCF-2",
"HC11",
"MCAF",
"MCP-1",
"MCP1",
"MGC9434",
"SCYA2",
"SMC-CF"
],
"Ensembl": "ENSG00000108691",
"Gene description": "C-C motif chemokine ligand 2",
"Uniprot": [
"P13500"
],
"Chromosome": "17",
"Position": "34255274-34257208",
"Protein class": [
"Cancer-related genes",
"Candidate cardiovascular disease genes",
"Human disease related genes",
"Plasma proteins",
"Predicted secreted proteins"
],
"Biological process": [
"Chemotaxis",
"Inflammatory response"
],
"Molecular function": [
"Cytokine"
],
"Disease involvement": [
"Cancer-related genes"
],
"Evidence": "Evidence at protein level",
"HPA evidence": "Evidence at protein level",
"UniProt evidence": "Evidence at protein level",
"NeXtProt evidence": "Evidence at protein level",
"RNA tissue specificity": "Tissue enhanced",
"RNA tissue distribution": "Detected in all",
"RNA tissue specificity score": null,
"RNA tissue specific nTPM": {
"urinary bladder": "726.7"
},
"RNA single cell type specificity": "Cell type enhanced",
"RNA single cell type distribution": "Detected in many",
"RNA single cell type specificity score": null,
"RNA single cell type specific nTPM": {
"Ductal cells": "2990.5",
"Exocrine glandular cells": "1242.1",
"Pancreatic endocrine cells": "1696.3",
"Secretory cells": "2061.7",
"Smooth muscle cells": "1284.8"
},
"RNA cancer specificity": "Low cancer specificity",
"RNA cancer distribution": "Detected in all",
"RNA cancer specificity score": null,
"RNA cancer specific FPKM": null,
"RNA brain regional specificity": "Low region specificity",
"RNA brain regional distribution": "Detected in all",
"RNA brain regional specificity score": null,
"RNA brain regional specific nTPM": null,
"RNA blood cell specificity": "Group enriched",
"RNA blood cell distribution": "Detected in some",
"RNA blood cell specificity score": "6",
"RNA blood cell specific nTPM": {
"classical monocyte": "7.6",
"eosinophil": "3.1"
},
"RNA blood lineage specificity": "Group enriched",
"RNA blood lineage distribution": "Detected in many",
"RNA blood lineage specificity score": "6",
"RNA blood lineage specific nTPM": {
"granulocytes": "3.1",
"monocytes": "7.6"
},
"RNA cell line specificity": "Low cancer specificity",
"RNA cell line distribution": "Detected in many",
"RNA cell line specificity score": null,
"RNA cell line specific nTPM": null,
"RNA tissue cell type enrichment": [
"Pancreas - Ductal cells"
],
"RNA mouse brain regional specificity": "Low region specificity",
"RNA mouse brain regional distribution": "Detected in some",
"RNA mouse brain regional specificity score": null,
"RNA mouse brain regional specific nTPM": null,
"RNA pig brain regional specificity": "Group enriched",
"RNA pig brain regional distribution": "Detected in all",
"RNA pig brain regional specificity score": "4",
"RNA pig brain regional specific nTPM": {
"midbrain": "13.1",
"spinal cord": "52.4"
},
"Antibody": [
"CAB013676",
"HPA019163"
],
"Reliability (IH)": "Approved",
"Reliability (Mouse Brain)": null,
"Reliability (IF)": "Approved",
"Subcellular location": [
"Golgi apparatus",
"Vesicles"
],
"Secretome location": "Secreted to blood",
"Secretome function": "Chemokine",
"CCD Protein": "NA",
"CCD Transcript": "NA",
"Blood concentration - Conc. blood IM [pg\/L]": 323000,
"Blood concentration - Conc. blood MS [pg\/L]": null,
"Blood expression cluster": null,
"Tissue expression cluster": "Cluster 7: Adipose tissue - Mixed function",
"Brain expression cluster": "Cluster 12: Non-specific - Vasculature",
"Cell line expression cluster": "Cluster 49: HMC-1 - Innate immune response",
"Single cell expression cluster": "Cluster 48: Smooth muscle cells - Signal transduction",
"Interactions": 4,
"Subcellular main location": [
"Golgi apparatus"
],
"Subcellular additional location": [
"Vesicles"
],
"Antibody RRID": {
"CAB013676": null,
"HPA019163": "AB_1846179"
},
"Pathology prognostics - Breast cancer": {
"prognostic type": "favorable",
"is_prognostic": false,
"p_val": "6.43e-2"
},
"Pathology prognostics - Cervical cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "4.14e-2"
},
"Pathology prognostics - Colorectal cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "4.78e-2"
},
"Pathology prognostics - Endometrial cancer": {
"prognostic type": "favorable",
"is_prognostic": false,
"p_val": "5.57e-2"
},
"Pathology prognostics - Glioma": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "2.37e-3"
},
"Pathology prognostics - Head and neck cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "8.64e-2"
},
"Pathology prognostics - Liver cancer": {
"prognostic type": "favorable",
"is_prognostic": false,
"p_val": "2.78e-2"
},
"Pathology prognostics - Lung cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "7.53e-2"
},
"Pathology prognostics - Melanoma": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "2.90e-1"
},
"Pathology prognostics - Ovarian cancer": {
"prognostic type": "favorable",
"is_prognostic": false,
"p_val": "1.19e-1"
},
"Pathology prognostics - Pancreatic cancer": {
"prognostic type": "favorable",
"is_prognostic": false,
"p_val": "9.33e-2"
},
"Pathology prognostics - Prostate cancer": {
"prognostic type": "favorable",
"is_prognostic": false,
"p_val": "2.65e-1"
},
"Pathology prognostics - Renal cancer": {
"prognostic type": "unfavorable",
"is_prognostic": true,
"p_val": "4.51e-4"
},
"Pathology prognostics - Stomach cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "1.33e-1"
},
"Pathology prognostics - Testis cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "2.50e-2"
},
"Pathology prognostics - Thyroid cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "1.81e-1"
},
"Pathology prognostics - Urothelial cancer": {
"prognostic type": "unfavorable",
"is_prognostic": false,
"p_val": "4.92e-2"
}
}
]