Statistical method on nonrandom clustering with application to somatic mutations in cancer.
about
Computational characterisation of cancer molecular profiles derived using next generation sequencingA graph theoretic approach to utilizing protein structure to identify non-random somatic mutations.A spatial simulation approach to account for protein structure when identifying non-random somatic mutationsExome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure.Utilizing protein structure to identify non-random somatic mutations.Expanding the computational toolbox for mining cancer genomes.Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexesThe structural impact of cancer-associated missense mutations in oncogenes and tumor suppressorsIncorporating molecular and functional context into the analysis and prioritization of human variants associated with cancerLeveraging protein quaternary structure to identify oncogenic driver mutations.Outlier analysis of functional genomic profiles enriches for oncology targets and enables precision medicine.Reassessment of Mendelian gene pathogenicity using 7,855 cardiomyopathy cases and 60,706 reference samples.Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine.OncodriveCLUST: exploiting the positional clustering of somatic mutations to identify cancer genes.Comparison of algorithms for the detection of cancer drivers at subgene resolution.Parkinson disease (PARK) genes are somatically mutated in cutaneous melanoma.Spatial statistical tools for genome-wide mutation cluster detection under a microarray probe sampling system
P2860
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P2860
Statistical method on nonrandom clustering with application to somatic mutations in cancer.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Statistical method on nonrando ...... o somatic mutations in cancer.
@ast
Statistical method on nonrando ...... o somatic mutations in cancer.
@en
Statistical method on nonrando ...... o somatic mutations in cancer.
@nl
type
label
Statistical method on nonrando ...... o somatic mutations in cancer.
@ast
Statistical method on nonrando ...... o somatic mutations in cancer.
@en
Statistical method on nonrando ...... o somatic mutations in cancer.
@nl
prefLabel
Statistical method on nonrando ...... o somatic mutations in cancer.
@ast
Statistical method on nonrando ...... o somatic mutations in cancer.
@en
Statistical method on nonrando ...... o somatic mutations in cancer.
@nl
P2093
P2860
P356
P1433
P1476
Statistical method on nonrando ...... o somatic mutations in cancer.
@en
P2093
Adam Pavlicek
Chi-Hse Teng
Elizabeth A Lunney
Jingjing Ye
Paul A Rejto
P2860
P2888
P356
10.1186/1471-2105-11-11
P577
2010-01-07T00:00:00Z
P5875
P6179
1051638212