Sequence Motifs and their Biological Significance

Sequence motifs are nucleic acid sequences that are widespread across or within a genomes and have or are speculated to have certain regulatory or structural biological functions.

Motifs that are found in different parts of the genomes like exons, introns and junk, have different functions. Motifs present in the exons ( coding part of the genome) decide the structure of the protein or label proteins to be sent to certain parts of the cell for processes like phosphorylation. Motifs that are present in introns (which makes up the non coding part of genome) are usually the regulatory sequences which determine the amount of gene expression and binding sites of proteins. Satellite DNA, which is the main component of centromeres and heterochromatin, is an example of motif found in junk parts of the genome.

Sequence Motifs and Consensus Se...

Dropout is a widely used regularization technique for neural networks. Neural networks, especially deep neural networks, are flexible machine learning algorithms and hence prone to overfitting. In this tutorial, we'll explain what is dropout and how it works, including a sample TensorFlow implementation.

If you [have] a deep neural net and it's not overfitting, you should probably be using a bigger one and using dropout, ... - Geoffrey Hinton [2]

Dropout algorithm

Dropout is a regularization technique where during each iteration of gradient descent, we drop a set of neurons selected at random. By drop, what we mean is that we essentially act as if they do not exist.

This 6-part course teaches python for data science and machine learning.

In this course, you will learn about the following important Python libraries used in Data Science and Machine Learning. Numpy (numerical python) provides vector and matrix primitives in Pytho...