public static string ToRna(string nucleotide)
{
char[] nucleotideArray = nucleotide.ToCharArray();
List <char> rnaList = Rna.ConvertToRna(nucleotideArray);
var temp = Rna.GetRnaString(rnaList);
Console.WriteLine(temp);
return(temp);
}
public void TranscribeRnaTest()
{
// Arrange
var dna = new Dna("GATGGAACTTGACTACGTAAATT");
var expectedRna = new Rna("GAUGGAACUUGACUACGUAAAUU");
// Act
var resultRna = dna.TranscribeRna();
// Assert
Assert.That(expectedRna, Is.EqualTo(resultRna));
}
public void ProtTest()
{
// Arrange
var rna = new Rna("AUGGCCAUGGCGCCCAGAACUGAGAUCAAUAGUACCCGUAUUAACGGGUGA");
var expectedProtein = new Protein("MAMAPRTEINSTRING");
// Act
var protein = rna.EncodeProtein();
// Assert
Assert.That(protein, Is.EqualTo(expectedProtein));
}
protected void btnTreinar_Click(object sender, EventArgs e)
{
Rna rna = new Rna();
List <double[]> dados = new List <double[]>();
try
{
StreamReader rd = new StreamReader(fileUpTreinamento.PostedFile.FileName);
string linha = string.Empty;
string[] reg;
bool cabecalho = false;
while ((linha = rd.ReadLine()) != null)
{
if (!cabecalho)
{
cabecalho = true;
}
else
{
reg = linha.Split(',');
double[] dado = new double[5];
dado[0] = Convert.ToDouble(reg[0]);
dado[1] = Convert.ToDouble(reg[1]);
dado[2] = Convert.ToDouble(reg[2]);
dado[3] = Convert.ToDouble(reg[3]);
dado[4] = Convert.ToDouble(reg[5]);
dados.Add(dado);
}
}
}
catch (Exception ex)
{
mssg.MessageFalse("Treinamento RNA", "Erro: " + ex.ToString(), this);
}
rna.Treinar(dados.ToArray());
Session["rna"] = rna;
grvFuncao.DataSource = rna.FuncaoNeuronio;
grvFuncao.DataBind();
}
protected void btnDescobrir_Click(object sender, EventArgs e)
{
if (!Valida())
{
return;
}
Cachorro cao = new Cachorro(Parse.ToInt(txtVida.Text), Parse.ToInt(txtAltura.Text), Parse.ToInt(txtPeso.Text), Parse.ToInt(dpdInteligencia.SelectedValue));
Rna rna = (Rna)Session["rna"];
if (rna == null)
{
mssg.MessageFalse("Treinamento RNA", "Erro: É necessário fazer o treinamento", this);
return;
}
string[] result = rna.Resultado(cao.Fator());
lbNomeRaca.Text = "Raça: " + result[0];
lbPorcentagem.Text = "Precisao: " + (Parse.ToDouble(result[1]) * 100).ToString("0.00");
img_cao.ImageUrl = "~/image/" + result[0] + ".jpg";
}
/// <summary>
/// Solves the PROT problem (http://rosalind.info/problems/prot/).
/// </summary>
private static void SolveProt()
{
var protein = new Rna(File.ReadAllText(@"Data\PROT\rosalind_prot.txt")).EncodeProtein();
SaveResult(@"Results\rosalind_prot_results.txt", protein.ToString());
}
