A statistical model for improved membrane protein expression using sequence-derived features

Human Protein Function Prediction from Sequence Derived Features using See5

Abstract— Drug Discovery is a tedious process and involves lot of iterations and different processes for the final approval. The pres ent work focus on prediction of molecular class of an unknown protein. The sequence data is taken from HPRD (Human Protein Reference Database) and then the different features are explored for each molecular sequence using various online tools. The decision tree w...

A New Model for Text Coherence Evaluation using Statistical Characteristics

Improved Statistical Features for Cursive Character Recognition

This paper presents an improved feature extraction technique for the cursive characters recognition. This technique can be applied in the perspective of handwritten word recognition system based on segmentation. The bases of fused statistical features extraction technique are improved projection profile and transition features. To extend this principal, a technique is integrated with the projec...

A Prediction Model for Membrane Proteins Using Moments Based Features.

The most expedient unit of the human body is its cell. Encapsulated within the cell are many infinitesimal entities and molecules which are protected by a cell membrane. The proteins that are associated with this lipid based bilayer cell membrane are known as membrane proteins and are considered to play a significant role. These membrane proteins exhibit their effect in cellular activities insi...

Improved Phishing Detection using Model-Based Features

Phishing emails are a real threat to internet communication and web economy. Criminals are trying to convince unsuspecting online users to reveal passwords, account numbers, social security numbers or other personal information. Filtering approaches using blacklists are not completely effective as about every minute a new phishing scam is created. We investigate the statistical filtering of phi...