Q-omics: Smart Software for Assisting Oncology and Cancer Research

The rapid increase in collateral omics and phenotypic data has enabled data-driven studies for the fast discovery of cancer targets and biomarkers. Thus, it is necessary to develop convenient tools for general oncologists and cancer scientists to carry out customized data mining without computationa...

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Detalles Bibliográficos
Autores principales: Lee, Jieun, Kim, Youngju, Jin, Seonghee, Yoo, Heeseung, Jeong, Sumin, Jeong, Euna, Yoon, Sukjoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Molecular and Cellular Biology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627836/
https://www.ncbi.nlm.nih.gov/pubmed/34819397
http://dx.doi.org/10.14348/molcells.2021.0169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627836/
https://www.ncbi.nlm.nih.gov/pubmed/34819397
http://dx.doi.org/10.14348/molcells.2021.0169

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