Cargando…
Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
While understanding molecular heterogeneity across patients underpins precision oncology, there is increasing appreciation for taking intra-tumor heterogeneity into account. Based on large-scale analysis of cancer omics datasets, we highlight the importance of intra-tumor transcriptomic heterogeneit...
Autores principales: | Suphavilai, Chayaporn, Chia, Shumei, Sharma, Ankur, Tu, Lorna, Da Silva, Rafael Peres, Mongia, Aanchal, DasGupta, Ramanuj, Nagarajan, Niranjan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680165/ https://www.ncbi.nlm.nih.gov/pubmed/34915921 http://dx.doi.org/10.1186/s13073-021-01000-y |
Ejemplares similares
-
CREAMMIST: an integrative probabilistic database for cancer drug response prediction
por: Yingtaweesittikul, Hatairat, et al.
Publicado: (2022) -
TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings
por: Peres da Silva, Rafael, et al.
Publicado: (2021) -
CalmBelt: Rapid SARS-CoV-2 Genome Characterization for Outbreak Tracking
por: Yingtaweesittikul, Hatairat, et al.
Publicado: (2021) -
A case study of the reproducibility of transcriptional reporter cell-based RNAi screens in Drosophila
por: DasGupta, Ramanuj, et al.
Publicado: (2007) -
OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees
por: Gao, Song, et al.
Publicado: (2016)