Which of the following is incorrect about Self-Organizing Maps?

The data points are initially assigned to the nodes at random

Clustering by SOMs is in principle similar to the k-means method

It doesn t involve neural networks

The data points are initially assigned to the nodes at random

It starts by defining a number of nodes

Which of the following is incorrect about k-Means Clustering?

It classifies data through a single step partition

k-means clustering produces a dendrogram

It classifies data through a single step partition

In this method, data are partitioned into k-clusters, which are prespecified at the outset

Explore topic-wise MCQs in Bioinformatics.

This section includes 5 Mcqs, each offering curated multiple-choice questions to sharpen your Bioinformatics knowledge and support exam preparation. Choose a topic below to get started.

1.	TIGR TM4 is a suite of multiplatform programs for analyzing microarray data.
A.	True
B.	False
Answer» B. False

Discussion

2.	Which of the following is incorrect about Self-Organizing Maps?
A.	Clustering by SOMs is in principle similar to the k-means method
B.	It doesn t involve neural networks
C.	The data points are initially assigned to the nodes at random
D.	It starts by defining a number of nodes
Answer» C. The data points are initially assigned to the nodes at random

Discussion

3.	Which of the following is incorrect about k-Means Clustering?
A.	k-means clustering produces a dendrogram
B.	It classifies data through a single step partition
C.	It is a divisive approach
D.	In this method, data are partitioned into k-clusters, which are prespecified at the outset
Answer» B. It classifies data through a single step partition

Discussion

4.	A supervised analysis refers to classification of data into a set of predefined categories. For example, depending on the purpose of the experiment, the data can be classified into predefined diseased or normal categories.
A.	True
B.	False
Answer» B. False

Discussion

5.	In the analysis of microarray data If replicated datasets are available, rigorous statistical tests such as t-test and analysis of variance (ANOVA) can be performed to test the null hypothesis that a given data point is not significantly different from the mean of the data distribution.
A.	True
B.	False
Answer» B. False

Discussion

Explore topic-wise MCQs in Bioinformatics.

TIGR TM4 is a suite of multiplatform programs for analyzing microarray data.

Which of the following is incorrect about Self-Organizing Maps?

Which of the following is incorrect about k-Means Clustering?

A supervised analysis refers to classification of data into a set of predefined categories. For example, depending on the purpose of the experiment, the data can be classified into predefined diseased or normal categories.

In the analysis of microarray data If replicated datasets are available, rigorous statistical tests such as t-test and analysis of variance (ANOVA) can be performed to test the null hypothesis that a given data point is not significantly different from the mean of the data distribution.