Ara
Toplam kayıt 6, listelenen: 1-6
Ranking cancer drivers via betweenness-based outlier detection and random walks
(BMC Bioinformatics, 2021)
Background Recent cancer genomic studies have generated detailed molecular data on a large number of cancer patients. A key remaining problem in cancer genomics is the identification of driver genes. Results
We propose ...
Identification and prioritization of personalized cancer drivers
(German Conference on Bioinformatics, 2022)
RBPSponge: genome-wide identification of lncRNAs that sponge RBPs
(Bioinformatics, 2019)
Long non-coding RNAs (lncRNAs) can act as molecular sponge or decoys for an RNA-binding protein (RBP) through their RBP-binding sites, thereby modulating the expression of all target genes of the corresponding RBP of ...
SCITUNA: a network alignment approach for integrating multiple single-cell RNA-Seq datasets
(15th International Symposium on Health Informatics and Bioinformatics, 2022)
The throughput and cost of single-cell RNA sequencing (scRNA-seq) are in continuous improvement, and so is the demand for larger-scale scRNA-seq data, which could require integrating multiple datasets from different ...
PersonaDrive: a method for the identification and prioritization of personalized cancer drivers
(Bioinformatics, 2022)
Motivation:
A major challenge in cancer genomics is to distinguish the driver mutations that are causally linked to cancer from passenger mutations that do not contribute to cancer development. The majority of existing ...
A network-centric framework for the evaluation of mutual exclusivity tests on cancer drivers
(Frontiers in Genetics, 2021)
One of the key concepts employed in cancer driver gene identification is that of mutual exclusivity (ME); a driver mutation is less likely to occur in case of an earlier mutation that has common functionality in the same ...