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BioVis-Pract
Public
Edited
Sep 8, 2023
4 forks
2
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input_counts = FileAttachment("znormalized_counts@5.txt").text()
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znormalized_counts.columns
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znormalized_counts.rows
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average = d3.mean(data.map(d=> d.value))
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margin = ({ top: 10, left: 150, right: 40, bottom: 50 })
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height = 1000
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chartClustered.drawData(20)
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upgma_result = {
let dataPerGene = separateByGene(data)
return upgma(dataPerGene,20)
}
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function upgma(data, threshold) {
// Initialize clusters with individual data points
const clusters = data.map((item, index) => new Cluster(item[0], 1, [item[0]], item[1]));
// Calculate the pairwise distance matrix
const distanceMatrix = calculateDistanceMatrix(clusters);
// Run UPGMA on the given distance matrix
return helper_upgma(distanceMatrix, threshold, clusters)
}
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euclideanDistance([3, 4, 4, 6, 7, 14, 15], [9, 6, 6, 7, 6, 15, 19])
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