View Label_Propagation_Demo.ipynb
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View SimpleDemoGA.java
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import java.util.Random; | |
/** | |
* | |
* @author Vijini | |
*/ | |
//Main class | |
public class SimpleDemoGA { |
View Clustering using convex hulls.ipynb
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View Python-igraph Example.ipynb
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View DBSCAN blog.ipynb
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View Translating_DNA_into_Protein.py
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# Read the file and get the DNA string | |
file = open('sample_dna.txt', 'r') | |
dna = file.read() | |
print "DNA Sequence: ", dna | |
# DNA codon table | |
protein = {"TTT" : "F", "CTT" : "L", "ATT" : "I", "GTT" : "V", | |
"TTC" : "F", "CTC" : "L", "ATC" : "I", "GTC" : "V", | |
"TTA" : "L", "CTA" : "L", "ATA" : "I", "GTA" : "V", |
View Visualise_Graph_Demo.ipynb
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View Clustering using convex hulls - High Dim.ipynb
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View evaluate.py
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import argparse | |
import scipy.special | |
import csv | |
parser = argparse.ArgumentParser(description="""Evaluate clustering results. This scripts will return the | |
precision, recall, F1-score and ARI of the provided clustering result""") | |
parser.add_argument("--clustered", | |
required=True, | |
type=str, |
View Translating_RNA_into_Protein.py
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# Read the file and get the RNA string | |
file = open('sample_rna.txt', 'r') | |
rna = file.read() | |
print "RNA String: ", rna | |
# RNA codon table | |
rna_codon = {"UUU" : "F", "CUU" : "L", "AUU" : "I", "GUU" : "V", | |
"UUC" : "F", "CUC" : "L", "AUC" : "I", "GUC" : "V", | |
"UUA" : "L", "CUA" : "L", "AUA" : "I", "GUA" : "V", |
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