[PDF] Top 20 Statistical Analysis of Pathogenicity of Somatic Mutations in Cancer
Has 10000 "Statistical Analysis of Pathogenicity of Somatic Mutations in Cancer" found on our website. Below are the top 20 most common "Statistical Analysis of Pathogenicity of Somatic Mutations in Cancer".
Statistical Analysis of Pathogenicity of Somatic Mutations in Cancer
... that cancer genomes contain variable numbers of somatic point mutations distributed across many ...These somatic mutations most likely include passen- ger mutations that are not ... See full document
12
3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets
... Our analysis identified several thousand, mostly novel, candidate functional cancer ...some mutations in the 3D clusters were in single-residue hot- spots, which by definition are frequently mutated ... See full document
14
The search for cis -regulatory driver mutations in cancer genomes
... different cancer types (for example, 26 cancers [6], 14 cancers [51], 12 cancers [56] and 8 cancers ...single cancer yet has enough individual samples with WGS to allow for the identification of non-coding ... See full document
17
A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients
... between somatic mutations and clin- ical outcome is multi-layered, complex, and to a large extent unknown, therefore the assumption of a direct in- fluence of genotype on phenotype is a key limitation in ... See full document
11
Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach
... more somatic mutations in its protein pocket region, it is likely to be ...(1) cancer gene enrichment analysis: we found that genes harboring somatic mutations in their protein ... See full document
14
Genomic profiling of colorectal cancer with isolated lung metastasis
... multiple statistical analyses, including CT, LRT, and FCPT, to determine P-values and ...the cancer genes APC, TP53, and KRAS were the most prevalent SMGs ...that mutations of all non-synonymous ... See full document
13
CVE: an R package for interactive variant prioritisation in precision oncology
... many somatic mutation calling ...other cancer samples), a subset of which were frequently altered in can- ...the analysis all of the 167 overlapping COSMIC variants can be included for further ... See full document
12
Depletion of somatic mutations in splicing associated sequences in cancer genomes
... to analysis of lineages with recent common ancestors as time for purging of weakly deleterious non-synonymous mutations is not long enough ...sense mutations is problematic as this fails to allow for ... See full document
12
MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis
... enrichment analysis (MSEA) to study mutation hotspots in genes and hypothesized that genes with mutation hotspots may serve as candidate cancer ...of Somatic Mutations in Cancer ... See full document
16
Systematic analysis of somatic mutations driving cancer: uncovering functional protein regions in disease development
... observed mutations compared to the background mutation rate [10]; a high rate of non- silent mutations compared to silent mutations [2]; or on the bias towards the accumulation of mutations ... See full document
23
Pharmacogenomic analysis of patient derived tumor cells in gynecologic cancers
... 24]. Somatic variants were determined though exome sequencing (median of 20 genomic variants per sample), and only mutations with variant allele frequency of > 5% were ...TP53 somatic ... See full document
13
Age-related somatic mutations in the cancer genome
... comprehensive analysis of patterns of mutations across the ...of somatic mutations in a broad spectrum of human tissues does not provide evidence that mutations contribute to ... See full document
9
Population-based statistical inference for temporal sequence of somatic mutations in cancer genomes
... population-scale analysis may cap- ture the temporal sequence of somatic mutations and identify the temporal sequence or hierarchy of somatic mutations of a given tumor ...between ... See full document
10
Erratum to: Somatic mutations in cancer development
... quantitative analysis of global gene expression [22-26] (the transcriptome); and ‘deep’ sequencing for the global analysis of the entire genome (or at least the ...the somatic mutations in an ... See full document
8
Somatic mutations in cancer development
... a cancer cell takes place through a sequence of a small number of discrete genetic events, somatic mutations: thus, cancer can be regarded properly as a genetic disease of somatic ... See full document
11
Immunohistochemical correlates of TP53 somatic mutations in cancer
... TP53 somatic mutations and define their occurrence in human ...database analysis was conducted in the IARC TP53 Database (R17); 7878 mutations with IHC features were retrieved representing 60 ... See full document
11
A balanced view of scale in spatial statistical analysis
... spatial statistical analysis. When scales of observation or analysis change, that is, when the unit size, shape, spacing or extent are altered, statistical results are expected to ...on ... See full document
16
The prognostic effects of somatic mutations in ER-positive breast cancer.
... status and non-silent (Supplementary Figure 7A) as well as FS/NS mutations in GATA3 (Supplementary Data 218... Considering q values of <0.2 the associations between FS/NS and 220.[r] ... See full document
24
Molecular characterization of breast cancer cell lines through multiple omic approaches
... This analysis suggests that these breast cancer cell lines can be grouped based on the phos- phorylation profile, as an alternative to the standard criteria, depending on the studies to be ... See full document
12
Discovering cancer genes by integrating network and functional properties
... 0.0001). Cancer genes show the highest degree of interaction (median = 23), followed by COS- MIC genes (median = 18), OMIM genes (median = 14) and non-cancer genes (median = 8) (Figure ...[27]. ... See full document
14
Related subjects