SYSTEMATIC EXPRESSION ANALYSIS OF LIGAND-RECEPTOR PAIRS REVEALS IMPORTANT CELL-TO-CELL INTERACTIONS INSIDE GLIOMA

Systematic expression analysis of ligand-receptor pairs reveals important cell-to-cell interactions inside glioma

Abstract Background Glioma is the most commonly diagnosed malignant and aggressive brain cancer in adults.Traditional researches mainly explored the expression profile of glioma at SEA KELP cell-population level, but ignored the heterogeneity and interactions of among glioma cells.Methods Here, we firstly analyzed the single-cell RNA-seq (scRNA-seq

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A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming

In recent years, obtaining RNA secondary structure information has played an important role in RNA and gene function research.Although some RNA secondary structures can be gained experimentally, in most cases, efficient, and accurate computational methods are still needed to predict RNA secondary structure.Current RNA secondary structure prediction

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A Profitable Sponsored Search Mechanism

Nowadays, the Internet has had a rapid expansion and presence in all areas of the individuals, institutions, companies and organizations lives.This has made large extent of data available so that the users need to access their desired information or services through using search engines.To continue and promote providing services, search engines req

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Fraud Detection in Banking Data by Machine Learning Techniques

As technology advanced and e-commerce services expanded, credit cards became one of the most popular payment methods, resulting in an increase in the volume of banking transactions.Furthermore, the significant increase in fraud requires high banking transaction costs.As Foodcover a result, detecting fraudulent activities has become a fascinating to

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