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Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology
by
Peirone, Serena
, Perrone, Sarah
, Tirtei, Elisa
, Varese, Fabiola
, Del Giudice, Marco
, Cereda, Matteo
, Fagioli, Franca
, Priante, Francesca
in
Algorithms
/ Artificial intelligence
/ Big Data
/ Biomarkers
/ Cancer
/ Coronaviruses
/ COVID-19
/ Datasets
/ Gene expression
/ Genomes
/ Genomics
/ Oncology
/ Pandemics
/ Precision medicine
/ Review
/ Severe acute respiratory syndrome coronavirus 2
2021
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Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology
by
Peirone, Serena
, Perrone, Sarah
, Tirtei, Elisa
, Varese, Fabiola
, Del Giudice, Marco
, Cereda, Matteo
, Fagioli, Franca
, Priante, Francesca
in
Algorithms
/ Artificial intelligence
/ Big Data
/ Biomarkers
/ Cancer
/ Coronaviruses
/ COVID-19
/ Datasets
/ Gene expression
/ Genomes
/ Genomics
/ Oncology
/ Pandemics
/ Precision medicine
/ Review
/ Severe acute respiratory syndrome coronavirus 2
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology
by
Peirone, Serena
, Perrone, Sarah
, Tirtei, Elisa
, Varese, Fabiola
, Del Giudice, Marco
, Cereda, Matteo
, Fagioli, Franca
, Priante, Francesca
in
Algorithms
/ Artificial intelligence
/ Big Data
/ Biomarkers
/ Cancer
/ Coronaviruses
/ COVID-19
/ Datasets
/ Gene expression
/ Genomes
/ Genomics
/ Oncology
/ Pandemics
/ Precision medicine
/ Review
/ Severe acute respiratory syndrome coronavirus 2
2021
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Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology
Journal Article
Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology
2021
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Overview
Artificial intelligence, or the discipline of developing computational algorithms able to perform tasks that requires human intelligence, offers the opportunity to improve our idea and delivery of precision medicine. Here, we provide an overview of artificial intelligence approaches for the analysis of large-scale RNA-sequencing datasets in cancer. We present the major solutions to disentangle inter- and intra-tumor heterogeneity of transcriptome profiles for an effective improvement of patient management. We outline the contributions of learning algorithms to the needs of cancer genomics, from identifying rare cancer subtypes to personalizing therapeutic treatments.
Publisher
MDPI AG,MDPI
Subject
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