MicroArray Data Analysis Candice Quadros & Amol Kothari
MicroArray Data Analysis Candice Quadros & Amol Kothari Neural Network for classification Harnessing the power of a neural network for classifying samples. Neural Network for
classification Reduce the no. of genes : We have to reduce the data dimensionality, i.e. reduce the no. of genes to consider. PCA can be used to select most informative genes, but it is computationally expensive to obtain the Eigen vectors for high dimensional
data. Use the method suggested by Golub et al. to obtain the informative genes. Neural Network for classification Steps in classification
Obtain the informative genes using Golubs method. Normalize the genes by shifting them to the mean & dividing by the standard deviation. Train the neural network by using the training data & targets, and get the weights. Classify the test data using the weights obtained above. Neural Network for classification
Results obtained: Inform. Genes No. of Hidden Units NN: Accuracy Golub: Accuracy 100
3 70.55 61.76 200 13 76.74 58.82
Hierarchical Merging: When to stop? Question: When to stop the merging? Suggested Solutions: Diameter(C) MaxD
Avg(sim(Oi,Oj)) (Oi,Oj C) Difficult to estimate the parameters in high dimensions. Hierarchical Merging: When to stop?
Another solution: When m clusters are present, stop merging. Problem: The m clusters might contain single point clusters. Use the concept of MinPts (from DBScan). A set of points is a significant cluster only if the set has MinPts. When there are m significant clusters, then stop. Hierarchical Merging: When to stop? No. of Significant Clusters
No. of iterations Visualization of data: Vizstruct Visualization of data: Vizstruct Equation used: How do weigh each dimension, i.e. how do
we select ? Default value = 0.5 Use the Eigen Values of each dimension to obtain the value of . Visualization of data: Vizstruct Steps for visualization:
Project the data into Eigen space. The Eigen values of each dimension i = i Now use the same formulae for calculating the 2D point: Where i = Eigen value of the ith dimension Visualization of data: Vizstruct Results:
The visualization obtained by this method is more representative of the data, compared to Vizstruct. Demo Thank You
Severity level escalation is at the discretion of Incident Coordinators in collaboration with Administrative Technologies leadership. ... Impact & Urgency Matrix - Is this a major incident? ... All relevant information is recorded in this template. As we discuss the...
Autorem materiálu a všech jeho částí, není-li uvedeno jinak, je Věra Pavlátová. Dostupné z Metodického portálu www.rvp.cz, ISSN: 1802-4785, financovaného z ESF a státního rozpočtu ČR. Provozuje Národní ústav pro vzdělávání, školské poradenské zařízení a zařízení pro další vzdělávání pedagogických...
Professional Engineer, PMP, LEED GA, BS Civil Engineering. Experience: 15 years of civil engineering experience. 9 years Fermilab. ... Planning and developing layouts of utilities, racks, cables, and cable trays for the LINAC Complex, PIP-II Utility Building (PUB), and Beam...
Procedure for Propounding Interrogatories Complete appropriate Interrogatories (Form or Special). Copy of Interrogatories is served on responding party (service by mail is OK if the responding party is the plaintiff, or a defendant who has filed an Answer), along with...
Planning involves the selection of appropriate strategies and the allocation of resources. Planning includes goal setting, activating relevant background knowledge, and budgeting time. Strategy. How is a strategy different? Strategy - Definitions.
Ready to download the document? Go ahead and hit continue!