Titlebook: Machine Learning and Systems Biology in Genomics and Health; Shailza Singh Book 2022 The Editor(s) (if applicable) and The Author(s), unde

漸強(qiáng)

空中

CHANT

Artificial Intelligence in Biomedical Image Processing,ts in a configuration specified by a graphic schematic design. Artificial intelligence (AI) is extensively applied for the augmentation of medical imaging (processing and interpretation) procedures. This chapter summarizes the application of AI on both simple and sophisticated image analysis techniq

REP

鞏固

Enzyme

束以馬具

Construction of Feedforward Multilayer Perceptron Model for Diagnosing Leishmaniasis Using Transcriutrition, the weak immune system of people, and their housing locality. It is diagnosed by microscopic identification, molecular and biochemical characterization, or serum analysis for parasitic compounds. In this study, we present a new approach for diagnosing leishmaniasis using transcriptome data

wangle

Big Data in Drug Discovery,lified by using big data. Big data is applied in both chemical and biological aspects of drug discovery starting from target validation to the final stage of clinical trials and explained with an example focusing on medicinal chemistry. This chapter lists the public, commercial, and proprietary chem

Intend

An Overview of Databases and Tools for lncRNA Genomics Advancing Precision Medicine,he pervasive transcription and discovery of noncoding RNAs, which put aside the assumption of RNA as a mere messenger in the central dogma of molecular biology. It became evident that RNA plays more critical regulatory roles than simply being the genetic information carrier. The advancements in the

苦惱

Machine Learning in Genomics,prises computational algorithms that learn from data and identify unique patterns within the data. Analyzing genomics data using ML requires precise methods for representation, feature extraction, and feature selection that are specific to the data type, application, and algorithm. In this chapter,