Ejemplo n.º 1
0
    public Double eval(Double lmbda) {
      double c1 = 0.0;
      double c3 = -1.0 / (double) Math.sqrt(2.0 * variance);
      double sum = 0.0;

      double cpart = -0.5 * Math.log(Math.sqrt(2.0 * Math.PI * variance));

      for (int i = 0; i < data.size(); i++) {
        for (int k = 0; k < channels.length; k++) {
          c1 += cpart;
          double pi = 0.0;

          for (Integer t : transcripts.keySet()) {
            if (transcripts.get(t).contains(i)) {
              double dit = delta(i, t);
              double gammai = gammas[t][k];
              double pit = gammai * Math.exp(-lmbda * dit);
              pi += pit;
            }
          }

          double zi = Math.log(pi);
          double err = data.values(i)[channels[k]] - zi;

          sum += (err * err);
        }
      }

      return c1 + c3 * sum;
    }
Ejemplo n.º 2
0
    public Double eval(Double gamma) {
      double c1 = 0.0;
      double c3 = -1.0 / (double) Math.sqrt(2.0 * variance);
      double sum = 0.0;

      double cpart = -0.5 * Math.log(Math.sqrt(2.0 * Math.PI * variance));

      for (Integer i : transcripts.get(gammat)) {
        c1 += cpart;
        double pi = 0.0;

        for (int t = 0; t < fiveprime.length; t++) {
          if (transcripts.get(t).contains(i)) {
            double gammai = gammat == t ? gamma : gammas[t][gammak];
            double dit = delta(i, t);

            double pit = gammai * Math.exp(-lambda * dit);
            pi += pit;
          }
        }

        double zi = Math.log(pi);
        double err = data.values(i)[channels[gammak]] - zi;

        sum += (err * err);
      }

      return c1 + c3 * sum;
    }
Ejemplo n.º 3
0
    public Double eval(Double lmbda) {
      double c = 1.0 / (double) Math.sqrt(variance);
      double sum = 0.0;

      for (int i = 0; i < data.size(); i++) {
        for (int k = 0; k < channels.length; k++) {
          double pi = 0.0;
          double pdi = 0.0;

          for (Integer t : transcripts.keySet()) {
            if (transcripts.get(t).contains(i)) {
              double gammai = gammas[t][k];
              double dit = delta(i, t);

              double falloff = Math.exp(-lmbda * dit);
              double pit = gammai * falloff;
              double pdit = pit * dit;

              pi += pit;
              pdi += pdit;
            }
          }

          double zi = Math.log(pi);
          double err = data.values(i)[channels[k]] - zi;
          double ratio = pdi / pi;
          double termi = (err * ratio);

          sum += termi;
        }
      }

      return c * sum;
    }
Ejemplo n.º 4
0
    public Double eval(Double gamma) {
      double c = 1.0 / (double) Math.sqrt(variance);
      double sum = 0.0;
      for (Integer i : transcripts.get(gammat)) {
        double pi = 0.0;

        for (int t = 0; t < fiveprime.length; t++) {
          if (transcripts.get(t).contains(i)) {
            double gammai = gammat == t ? gamma : gammas[t][gammak];
            double dit = delta(i, t);

            double pit = gammai * Math.exp(-lambda * dit);
            pi += pit;
          }
        }

        double zi = Math.log(pi);
        double err = data.values(i)[channels[gammak]] - zi;
        double ratio = (Math.exp(-lambda * delta(i, gammat))) / pi;
        double termi = (err * ratio);

        sum += termi;
      }

      return c * sum;
    }
Ejemplo n.º 5
0
  public double error() {
    double sum = 0.0;

    for (int i = 0; i < data.size(); i++) {
      for (int k = 0; k < channels.length; k++) {
        double pi = 0.0;

        for (Integer t : transcripts.keySet()) {
          if (transcripts.get(t).contains(i)) {
            double gammai = gammas[t][k];
            double dit = delta(i, t);

            double pit = gammai * Math.exp(-lambda * dit);
            pi += pit;
          }
        }

        double zi = Math.log(pi);
        double err = Math.abs(data.values(i)[channels[k]] - zi);

        sum += err;
      }
    }

    return sum;
  }