Key Gene Screening and Validation in Non-Tumor Bioinformatics

Key Gene Screening and Validation in Non-Tumor Bioinformatics

Impact Factor: 7.7 Research Overview: Pulmonary hypertension (PH) is a heterogeneous group of diseases defined as a mean pulmonary artery pressure ≥20 mmHg measured during right heart catheterization at rest. Pulmonary arterial hypertension (PAH) is one of the main subtypes of PH, characterized by pulmonary vascular remodeling mediated by excessive proliferation of pulmonary artery smooth … Read more

Integrating Bioinformatics and Machine Learning to Unveil Lactate Metabolism and Rheumatoid Arthritis Connection

Integrating Bioinformatics and Machine Learning to Unveil Lactate Metabolism and Rheumatoid Arthritis Connection

Today, I will analyze an article published in April 2024 in Sci Rep (IF:4.0) titled “Unveiling the link between lactate metabolism and rheumatoid arthritis through integration of bioinformatics and machine learning“. Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovitis and joint damage. Recent research findings suggest a potential link with abnormal lactate … Read more

How Important Is Math in Machine Learning?

How Important Is Math in Machine Learning?

1 New Intelligence Compilation1 Source: iamwire.com Author: Wale Akinfaderin Translator: Liu Xiaoqin AI World 2016 World Artificial Intelligence Conference ❶ Industry leaders review 60 years of AI history, global dialogue on future challenges of artificial intelligence, authoritative release of the 2016 World Artificial Intelligence Hall of Fame and China’s artificial intelligence industry development report; ❷ … Read more

How To Build A Secure Machine Learning Environment

How To Build A Secure Machine Learning Environment

Children’s Day is approaching, but this year’s June 1st is a bit different. As the pandemic eases, many places have made it clear that after June 1st, various stages of basic education need to gradually return to school, and strict personnel control and temperature measurement must be implemented according to safety requirements. Currently, as the … Read more

Introduction to Machine Learning: Methods and Learning Path

Introduction to Machine Learning: Methods and Learning Path

Authorized Reprint Authors: Long Xinchen, Han Xiaoyang ◆ ◆ ◆ 1. Introduction You might not be familiar with this thing called ‘Machine Learning’, but when you lift your iPhone to take a photo, you are already accustomed to it helping you frame human faces; you naturally click on the news recommended by today’s headlines; you … Read more

What Is Machine Learning?

What Is Machine Learning?

In recent years, Uber’s self-driving cars, Google’s AlphaGo, quantitative trading, LinkedIn’s precise friend recommendations, and the Galapagos in Grasshopper that children are familiar with have all shown that machine learning is truly changing our lives, learning, and work. What Is Machine Learning? Machine learning is a data analysis method that can automatically generate analytical models. … Read more

The Past and Present of Machine Learning: A Grand History

The Past and Present of Machine Learning: A Grand History

Machine Learning A magnificent history of artificial intelligence development The victory of AlphaGo, the success of autonomous driving, and breakthroughs in pattern recognition have repeatedly stimulated our nerves with the rapid development of artificial intelligence. As the core of artificial intelligence, machine learning has also attracted much attention in this rapid advancement, shining brightly. Today, … Read more

Java And Machine Learning: Integrating Weka For Data Analysis

Java And Machine Learning: Integrating Weka For Data Analysis

Today, let’s talk about the things related to machine learning in Java, using the Weka library. Weka is a great tool that can handle data and run models, super convenient. Data Preprocessing, Let’s Go! In Weka, data processing is very smooth. Missing values? Noise? All sorted! It has a bunch of built-in filters, like weka.filters.unsupervised.attribute.Remove, … Read more

Resources for Learning and Understanding Word2Vec

Resources for Learning and Understanding Word2Vec

Source: AI Study Society I was interviewed recently and, since I still don’t fully understand how word embeddings work, I’ve been looking for a lot of related materials to grasp this concept better. My understanding is still limited, so I won’t overestimate myself by writing my own article (even if I did, it would just … Read more

Word2Vec, Node2Vec, Graph2Vec, X2Vec: Theory of Vector Embeddings

Word2Vec, Node2Vec, Graph2Vec, X2Vec: Theory of Vector Embeddings

[Introduction] Embedding representation learning is a current research hotspot. From Word2Vec to Node2Vec to Graph2Vec, a large number of X2Vec algorithms have emerged. But how can we construct a theory of vector embeddings to guide algorithm design? Recently, Professor Martin Grohe, a computer science professor at RWTH Aachen University and ACM Fellow, gave a report … Read more