Salut la communauté JMP,
J'ai besoin de récupérer des informations biologiques sur le site Web public de l'Atlas des protéines humaines sur la base d'un identifiant unique.
Jusqu'à présent, je peux facilement récupérer et analyser le fichier JSON du site Web en utilisant le code simple ci-dessous.
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);
Le problème survient lorsque j'essaie de ne collecter qu'une partie sélectionnée du document JSON (voir ci-joint):
1) La commande "js_par << Get Keys" ne récupère que les clés de niveau supérieur, laissant les "sous-clés" indisponibles
2) La commande "js_par << Get Values" ne renvoie pas les valeurs réelles, mais le format des "conteneurs" de données
Par conséquent, comment puis-je décomposer le document JSON pour permettre la récupération de clés et de valeurs spécifiques ?
Tout indice serait le bienvenu.
Merci.
Meilleur,
TS
Voyez si l'assistant d'importation json fait ce dont vous avez besoin. Il existe plusieurs façons de l'attaquer; une solution JSL pourrait ressembler à
dt = open("z:/ENSG00000108691.json",guess("huge", stack(1)),jsonwizard(0));
remplacez le 0 par un 1 pour afficher la boîte de dialogue de l'assistant.
ce fichier semble avoir 8 enregistrements avec le meilleur choix d'estimation. Si cela ne correspond pas à vos attentes, vous voudrez peut-être sélectionner manuellement ce que vous voulez via l'interface graphique, mais je ne suis pas sûr que vous puissiez faire beaucoup plus que supprimer les colonnes inutiles.
(fichier->ouvrir, sélectionner l'extension .json, sélectionner les données à l'aide de l'aperçu, ouvrir.)
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.json (and XML) dialogs are almost identical.Les boîtes de dialogue json (et XML) sont presque identiques.
En fait, après le reformatage (le code Visual Studio a fonctionné), il est probablement plus logique d'utiliser stack(0) et d'obtenir 1 ligne. Chaque colonne est une liste d'attributs pour cette colonne (je suppose.) La colonne des synonymes a 8 possibilités. La classe des protéines a 5 possibilités. Ils ne doivent pas être alignés sur des lignes comme le montre le premier exemple, je suppose que ce n'est pas ce qui était prévu.
Le tableau aura des colonnes d'expression au lieu de colonnes de caractères avec des délimiteurs si vous les demandez :
[
{
"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"
}
}
]