Michele Ceccarelli
Information Systems · 2012–2019
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 8 citations into it
Whom Michele Ceccarelli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Michele Ceccarelli's perspective
Ordered by how strongly the researchers Michele Ceccarelli trusts endorse each paper. Same corpus, a different order for every researcher.
- Combined activation of Ras and Akt in neural progenitors induces glioblastoma formation in mice (Nature Genetics)
- Recovering Traceability Links between Code and Documentation
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- The Somatic Genomic Landscape of Glioblastoma (Cell)
- Recovering documentation-to-source-code traceability links using latent semantic indexing (25th International Conference on Software Engineering, 2003. Proceedings.)
- Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
- An integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR and NF1 (Cancer Cell)
- Reconstructing and reprogramming the tumor propagating potential of glioblastoma stem-like cells (Cell)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
Their papers
- Transforming Fusions of FGFR and TACC Genes in Human Glioblastoma (2012) — 756 citations
- Molecular profiling reveals biologically discrete subsets and pathways of progression in diffuse glioma (2016) — 1,926 citations
- TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data (2015) — 3,480 citations
- RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types (2019) — 816 citations
- A Hidden Markov Model to detect coded information islands in free text (2013) — 21 citations