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import streamlit as st | |
import numpy as np | |
import pandas as pd | |
import pickle | |
import sklearn | |
import xgboost | |
data = pd.read_csv("annotations_dataset.csv") | |
data = data.set_index("Gene") | |
model = pickle.load(open('fitted_model.sav', 'rb')) | |
predictions = list(model.predict(data)) | |
output = pd.Series(data=predictions, index=data.index, name="XGB_Score") | |
df_total = pd.concat([data, output], axis=1) | |
st.title('Blood Pressure Gene Prioritisation Post-Genome-wide Association Study') | |
st.markdown(""" | |
A machine learning pipeline for predicting disease-causing genes post-genome-wide association study in blood pressure. | |
""") | |
st.sidebar.header('Input Gene') | |
sepal_length = st.text_input( | |
label='HGNC Gene Name') |