Ngstoolkit.txt

p value
fold change

UML diagram (On going)
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Requirements
	1. Functional Requirements
	--> System Should be able to detect all the biomarkers for a ceratain disease when ".csv" or ".xlrd" files uploaded
	--> User able to login with the credentials and able to manage his/her files and datas.
	--> User able to visualize the data using different methods(Box plot, Scatter plot)
	--> User able to normalize the data.
	--> user able to use different feature selection methods(Selected few)
	--> User able to use different classification methods to classify the person as diseased or not
 

	2. Non Functional requirements
	--> For handling vast amount of data the sytem should be utilized.
	--> Time taken to detect the biomarkers need to minimize as much as possible.
	--> User data's need to recoverable.
	--> Scalability of the system should be high inorder to handle a huge amount of data.
	--> System should be available 24/7.
	--> Able to access across the globe.

Normalization methods 
	1. Min Max Normalization
	2. Standard normalization


****Visualization Methods
	1. Box plot
	2. Scatter plot


Feature Selection Methods
	1. Intrinsic
		i. Pearson's Coefficient
			
		ii. Chi Squared
			categorical ----> categorical

		iii. Anova Coefficient

	2. Wrapper Method
		i. Recursive Feature Elimination
		ii. Genetic Algorithms

	3. Filter Method

		i. lasso Regularization
		ii. Decission tree


Binary Classification
Biomarker Or Not

Classification methods
	1. Logistic Regression
	2. Naive Bayes
	3. Stochastic Gradient Descent
	4. K-Nearest Neighbours
	5. Decision tree
	6. Random Forest
	7. Support Vector Machine