A Practical Guide to The Cancer Genome Atlas (TCGA)

By Zhining Wang, M. Jensen, J. Zenklusen. Statistical Genomics, 2016

566 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology, Pathology and Forensic Medicine

View Paper: https://www.semanticscholar.org/paper/d427dfd80e34da2b57adc289cac706452695d514

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Rohan Gupta
2. Devesh Srivastava
3. Mehar Sahu
4. S. Tiwari
5. R. K. Ambasta
6. Pravir Kumar

Citations in the corpus

• Artificial intelligence to deep learning: machine intelligence approach for drug discovery (2021, background): “…nlm. nih. gov/ geo/) [41], The Cancer Genome Atlas (TCGA) (https:// www. cancer. gov/ about-nci/ organ izati on/ ccg/ resea rch/ struc tural-genom ics/ tcga) [42], Arrayexpress (https:// www. ebi . ac . uk / array expre ss/) [43], are some of the big repositories which contain gene expression data.”