Python InsulinMassSpecAndModelDataReader Examples

Example #1

File: test_insulinMassSpecAndModelDataReader.py Project: gajduk/network-inference-from-short-time-series-gajduk

class TestInsulinMassSpecAndModelDataReader(TestCase):
    def test_loadnmeth_2703(self):
        self.reader = InsulinMassSpecAndModelDataReader()
        res, times, relevant_proteins_nmeth_2703 = self.reader.loadnmeth_2703()
        self.assertTrue(res)
        self.assertTrue(times)
        self.assertTrue(relevant_proteins_nmeth_2703)

    def test_load_model_data(self):
        self.reader = InsulinMassSpecAndModelDataReader()
        [t, y] = self.reader.load_model_data()
        self.assertTrue(t)
        self.assertTrue(y)

Example #2

File: test_insulinMassSpecAndModelDataReader.py Project: gajduk/network-inference-from-short-time-series-gajduk

class TestInsulinMassSpecAndModelDataReader(TestCase):


	def test_loadnmeth_2703(self):
		self.reader = InsulinMassSpecAndModelDataReader()
		res,times,relevant_proteins_nmeth_2703 = self.reader.loadnmeth_2703()
		self.assertTrue(res)
		self.assertTrue(times)
		self.assertTrue(relevant_proteins_nmeth_2703)

	def test_load_model_data(self):
		self.reader = InsulinMassSpecAndModelDataReader()
		[t,y] = self.reader.load_model_data()
		self.assertTrue(t)
		self.assertTrue(y)

Example #3

File: nmeth_2703_main.py Project: gajduk/network-inference-from-short-time-series-gajduk

def plot_all_alpha():
    dataset, t, _ = InsulinMassSpecAndModelDataReader().loadnmeth_2703()
    x = []
    for protein_name in dataset:
        x.append(dataset[protein_name])
    plt.plot(np.matrix(x).T, 'b', alpha=0.3, color='#6D8AC4')
    plt.xlabel('Time [min]')
    plt.ylabel('Log2 - FoldChange compared to t = 0 [min]')
    plt.xticks([0, 1, 2, 3, 4], t)
    plt.ylim([-1.5, 1.5])
    # plt.legend([e for e in dataset])
    plt.show()

Example #4

File: nmeth_2703_main.py Project: gajduk/network-inference-from-short-time-series-gajduk

def plot_relevant_proteins():
    dataset, t, relevant_proteins = InsulinMassSpecAndModelDataReader(
    ).loadnmeth_2703()
    x = []
    for protein_name in relevant_proteins:
        x.append(dataset[relevant_proteins[protein_name]])
    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.set_color_cycle([
        "#D24FA2", "#68C738", "#D768DA", "#ABB336", "#A275D5", "#E0A233",
        "#7187D9", "#DD5425", "#4FB4D2", "#D9464D", "#57C97A", "#E03375",
        "#51953F", "#AF75AB", "#61752C", "#C55E7F", "#34A08C", "#C1624D",
        "#5C7BA7", "#AC6F28"
    ])
    for xs in x:
        xs[0] = 0
    plt.plot(np.matrix(x).T)
    plt.xlabel('Time [min]')
    plt.ylabel('Log2 - FoldChange compared to t = 0 [min]')
    plt.xticks([0, 1, 2, 3, 4], t)
    plt.ylim([-.7, 1.2])
    ax.legend([e for e in relevant_proteins]).draggable()
    plt.show()

Example #5

File: test_insulinMassSpecAndModelDataReader.py Project: gajduk/network-inference-from-short-time-series-gajduk

 def test_loadnmeth_2703(self):
     self.reader = InsulinMassSpecAndModelDataReader()
     res, times, relevant_proteins_nmeth_2703 = self.reader.loadnmeth_2703()
     self.assertTrue(res)
     self.assertTrue(times)
     self.assertTrue(relevant_proteins_nmeth_2703)

Example #6

File: test_insulinMassSpecAndModelDataReader.py Project: gajduk/network-inference-from-short-time-series-gajduk

 def test_load_model_data(self):
     self.reader = InsulinMassSpecAndModelDataReader()
     [t, y] = self.reader.load_model_data()
     self.assertTrue(t)
     self.assertTrue(y)

Example #7

File: test_insulinMassSpecAndModelDataReader.py Project: gajduk/network-inference-from-short-time-series-gajduk

	def test_loadnmeth_2703(self):
		self.reader = InsulinMassSpecAndModelDataReader()
		res,times,relevant_proteins_nmeth_2703 = self.reader.loadnmeth_2703()
		self.assertTrue(res)
		self.assertTrue(times)
		self.assertTrue(relevant_proteins_nmeth_2703)

Example #8

File: test_insulinMassSpecAndModelDataReader.py Project: gajduk/network-inference-from-short-time-series-gajduk

	def test_load_model_data(self):
		self.reader = InsulinMassSpecAndModelDataReader()
		[t,y] = self.reader.load_model_data()
		self.assertTrue(t)
		self.assertTrue(y)