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Description
Anticuerpo Monoclonal Anti Oncoproteína BCL2. Para inmunohistoquímica en tejido fijado en formol o tejido en fresco. Para técnica manual o automatizada. El usuario determinará estas características de acuerdo a sus necesidades. La clona la determinará el usuario. Prueba RTC
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.3092.00
Presentation
Pieza
Each circle represents one of the 26 purchases of REACTIVOS POR INMUNOHISTOQUIMICA made by the IMSS between 2012 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 5 | 74,176.4 MXN | 85.1 % | 8.21 | 2015 - 2018 |
| TECNOLOGIA INTEGRAL PARA LABORATORIOS, S.A. DE C.V | 5 | 47,111.3 MXN | 10.5 % | 6.06 | 2015 - 2018 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 3 | - MXN | - | - | 2016 - 2018 |
| CUBILLAS PUNARO MARCO ANTONIO | 3 | 7,793.3 MXN | 18.2 % | 1.4 | 2013 - 2014 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 3 | 1,414.1 MXN | 6.79 % | 0.204 | 2013 - 2017 |
| RAMIREZ ROMERO JESUS ARMANDO | 2 | 11,377 MXN | 79.3 % | 1.59 | 2012 - 2013 |
| ASESORIA Y PROVEEDORA DE EQUIPOS PARA LABORATORIO, | 1 | - MXN | - | - | 2018 - 2018 |
| ASPELAB DE MEXICO, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 1 | 272 MXN | 2.67 % | 0.0267 | 2018 - 2018 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 100.4 MXN | 0.494 % | 0.00987 | 2018 - 2018 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 7,238.9 MXN | 35.6 % | 0.712 | 2018 - 2018 |
Entity type
Material de laboratorio
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.070.3092.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.070.3092.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.070.3092.00')