Machine Learning and Systems Biology in Genomics and Health
portes grátis
Machine Learning and Systems Biology in Genomics and Health
Singh, Shailza
Springer Verlag, Singapore
02/2022
236
Dura
Inglês
9789811659928
15 a 20 dias
580
Descrição não disponível.
Chapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing.- Chapter2- Big data in drug discovery.- Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine.- Chapter 4-Machine Learning in Genomics.- Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics?.- Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets.- Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis.- Chapter 8-Artificial Intelligence in Biomedical Image Processing.- Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management.
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computational biology;systems biology;genomic analysis;big data genomics;deep learning;random forest
Chapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing.- Chapter2- Big data in drug discovery.- Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine.- Chapter 4-Machine Learning in Genomics.- Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics?.- Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets.- Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis.- Chapter 8-Artificial Intelligence in Biomedical Image Processing.- Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.