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Toplam kayıt 33, listelenen: 11-20
MEXCOwalk: mutual exclusion and coverage based random walk to identify cancer modules
(Bioinformatics, 2019)
Motivation: Genomic analyses from large cancer cohorts have revealed the mutational heterogeneity problem
which hinders the identification of driver genes based only on mutation profiles. One way to tackle this problem ...
Structure of conflict graphs in constraint alignment problems and algorithms
(Discrete Mathematics Theoretical Computer Science, 2019)
We consider the constrained graph alignment problem which has applications in biological network analysis. Given two input graphs G1 = (V1, E1), G2 = (V2, E2), two vertices u1, v1 of G1 paired respectively to two vertices ...
A novel fuzzy random forest model for meteorological drought classification and prediction in ungauged catchments
(Pure and Applied Geophysics, 2020)
This paper presents a new tree-based model, namely Fuzzy Random Forest (FRF), for one month ahead Standardized Precipitation Evapotranspiration Index (SPEI) classification and prediction with a noteworthy application in ...
Modeling gene regulation in liver hepatocellular carcinoma with random forests
(BioMed Research International, 2016)
Liver hepatocellular carcinoma (HCC) remains a leading cause of cancer-related death. Poor understanding of the mechanisms underlying HCC prevents early detection and leads to high mortality. We developed a random forest ...
JBASE: Joint Bayesian Analysis of Subphenotypes and Epistasis
(Bioinformatics, 2015)
Motivation: Rapid advances in genotyping and genome-wide association studies have enabled the discovery of many new genotype–phenotype associations at the resolution of individual markers. However, these associations explain ...
Target-independent prediction of drug synergies using only drug lipophilicity
(Journal of Chemical Information and Modeling, 2014)
Physicochemical properties of compounds have been instrumental in selecting lead compounds with increased drug-likeness. However, the relationship between physicochemical properties of constituent drugs and the tendency ...
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 ...
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 ...
Identification and prioritization of personalized cancer drivers
(German Conference on Bioinformatics, 2022)
Efficient domination in Cayley graphs of generalized dihedral groups
(Discussiones Mathematicae Graph Theory, 2020)
An independent subset D of the vertex set V of the graph is an effcient
dominating set for this graph if each vertex v in V \ D has precisely one neighbour in D. In this article, we classify the connected cubic Cayley ...