plotNow([{
y:getURL.mRNASeq.map(ex=>ex['expression_log2']),
x:getURL.mRNASeq.map(ex=>ex['z-score']),
ids:getURL.mRNASeq.map(ex=>ex['tcga_participant_barcode']),
mode: 'markers',
type: 'scatter',
}],{
title:'BLCA, FireBrowse mRNASeq expression data on TP53',
yaxis:{
title:'gene expression, log2',
},
xaxis:{
title:'z-score',
}
})
flexibleData = async function(url,fields,from,size){
let body = ({
'fields': fields,
'from': from,
'size': size
})
return(await betterFetch(url,body))
}
fieldData = flexibleData('https://api.gdc.cancer.gov/projects', "disease_type", 0, 100)
fieldPlotter= async function(field){
let dtt={}
let y = fieldData.data.hits.map(x=>{
if(!dtt[x.field]){
dtt[x.field]=0
}
dtt[x.field]+=1
})
return dtt
}
fieldPlot = fieldPlotter('disease_type')
fieldGraph= {
let div = DOM.element('div')
let trace={
x:Object.keys(fieldPlot),
y:Object.keys(fieldPlot).map(tp=>fieldPlot[tp]),
type:'bar'
}
return plt.plot(div,[trace])
}
cancerGraph= {
let div = DOM.element('div')
let trace={
x:Object.keys(cancerPlot),
y:Object.keys(cancerPlot).map(tp=>cancerPlot[tp]),
type:'bar'
}
return plt.plot(div,[trace])
}
femaleData=(await fetch('https://api.gdc.cancer.gov/files?from=0&size=250&filters={"op":"=","content":{"field":"cases.demographic.gender","value":["female"]}}')).json()
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
