Projects: bioconductor: Uniquorn
https://packages.ecosyste.ms/registries/bioconductor.org/packages/Uniquorn
Identification of cancer cell lines based on their weighted mutational/ variational fingerprint
1 version
Latest release: over 2 years ago
8,946 downloads total
Science Score: 65/100
Starting Score: 100 points
Bonuses:
Penalties:
-
-10
No science terms in description
No scientific terms found in description -
-25
Non-science indicators
1 non-scientific terms found
Very Likely Science (65)
Papers Mentioning Uniquorn 2
10.1038/s41598-018-36300-8
Robust in-silico identification of Cancer Cell Lines based on RNA and targeted DNA sequencing dataCited by: 1
Author(s): Raik Otto, Jan-Niklas Rössler, Christine Sers, Soulafa Mamlouk, Ulf Leser
Software Mentions: 3
Published: over 7 years ago
10.18632/oncotarget.16110
Robust <i>in-silico</i> identification of cancer cell lines based on next generation sequencingCited by: 12
Author(s): Raik Otto, Christine Sers, Ulf Leser
Software Mentions: 2
Published: about 9 years ago