The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Machine Learning Perspective in Cancer Research
Abstract
Advancement in genome sequencing technology has empowered researchers to think beyond their imagination. Researchers are trying their hard to fight against various genetic diseases like cancer. Artificial intelligence has empowered research in the healthcare sector. Moreover, the availability of opensource healthcare datasets has motivated the researchers to develop applications which can help in early diagnosis and prognosis of diseases. Further, next-generation sequencing (NGS) has helped to look into detailed intricacies of biological systems. It has provided an efficient and cost-effective approach with higher accuracy. The advent of microRNAs also known as small noncoding genes has begun the paradigm shift in oncological research. We are now able to profile expression profiles of RNAs using RNA-seq data. microRNA profiling has helped in uncovering their relationship in various genetic and biological processes. Here in this chapter, the authors present a review of the machine learning perspective in cancer research.
Related Content
|
Alessandra Lima da Silva, Diego Mariano, Mariana Parise, Angie L. A. Puelles, Tatiane Senna Bialves, Luana Luiza Bastos, Lucas Santos, Rafael Pereira Lemos.
© 2025.
22 pages.
|
|
Seyyed Mohammad Amin Mousavi Sagharchi, Mohsen Sheykhhasan, Atousa Ghorbani, Elina Afrazeh, Naresh Poondla, Naser Kalhor, Hamid Tanzadehpanah, Hanie Mahaki, Hamed Manoochehri.
© 2025.
46 pages.
|
|
Eduarda Guimarães Sousa, Lucas Gabriel Rodrigues Gomes, Fernanda Diniz Prates, Talita Pereira Gomes, Gabriel Camargos Gomes, Janaíne Aparecida de Paula, Ana Lua de Oliveira Vinhal, Bernardo Buhr Alves Mendonça, Mariana Letícia Costa Pedrosa, Luiza Pereira Reis, Aline Ferreira Maciel de Oliveira, Marcus Vinicius Canário Viana, Arun Kumar Jaiswal, Siomar de Castro Soares, Vasco Ariston de Carvalho Azevedo.
© 2025.
38 pages.
|
|
Diego Mariano, Lucas Moraes dos Santos, Raquel Cardoso de Melo-Minardi.
© 2025.
30 pages.
|
|
Alessandra G. Cioletti, Frederico C. Carvalho, Lucas M. Dos Santos, Raquel C. M. Minardi.
© 2025.
32 pages.
|
|
Leandro Morais de Oliveira, Luana Luiza Bastos, Vivian Morais Paixão, Leticia Aparecida Gontijo, Tatiane Senna Bialves, Diego Mariano, Raquel Cardoso de Melo Minardi.
© 2025.
40 pages.
|
|
Angie Atoche Puelles, Luana Luiza Bastos, Vivian Morais Paixão, Sheila Cruz Araujo, Raquel Cardoso de Melo Minardi.
© 2025.
28 pages.
|
|
|