scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1106915210 |
P356 | DOI | 10.1186/S13059-018-1507-0 |
P932 | PMC publication ID | 6131897 |
P698 | PubMed publication ID | 30205839 |
P50 | author | Aritro Nath | Q59684381 |
P2093 | author name string | R Stephanie Huang | |
Cathal Seoighe | |||
Robert L Grossman | |||
Fan Wang | |||
Paul Geeleher | |||
Zhenyu Zhang | |||
Jessica Fessler | |||
Alvaro N Barbeira | |||
P2860 | cites work | The Hallmarks of Cancer | Q221226 |
Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer | Q35996692 | ||
Genome-wide association study identifies multiple susceptibility loci for glioma | Q36145972 | ||
Expression Quantitative Trait loci (QTL) in tumor adjacent normal breast tissue and breast tumor tissue | Q36267818 | ||
Systematic pan-cancer analysis of tumour purity | Q36350773 | ||
Cell type-specific gene expression differences in complex tissues | Q36975911 | ||
Computational deconvolution: extracting cell type-specific information from heterogeneous samples | Q37417280 | ||
Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types | Q37422742 | ||
COSMIC: somatic cancer genetics at high-resolution | Q37556877 | ||
A comprehensive transcriptional portrait of human cancer cell lines | Q37854720 | ||
Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies. | Q38605171 | ||
Gene regulatory mechanisms underpinning prostate cancer susceptibility | Q38788399 | ||
Interaction Landscape of Inherited Polymorphisms with Somatic Events in Cancer. | Q38966664 | ||
Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups | Q39625095 | ||
Next-generation genotype imputation service and methods | Q40603492 | ||
Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations. | Q48273537 | ||
Exploring the Link between the Germline and Somatic Genome in Cancer. | Q52884337 | ||
Putative cis-regulatory drivers in colorectal cancer | Q53030526 | ||
Hallmarks of Cancer: The Next Generation | Q22252312 | ||
The Cancer Genome Atlas Pan-Cancer analysis project | Q24606808 | ||
Chemotherapeutic drug susceptibility associated SNPs are enriched in expression quantitative trait loci | Q24631841 | ||
PLINK: a tool set for whole-genome association and population-based linkage analyses | Q24677407 | ||
Toward a Shared Vision for Cancer Genomic Data | Q26966456 | ||
Targeting RAS signalling pathways in cancer therapy | Q28201363 | ||
Gene-set analysis is severely biased when applied to genome-wide methylation data | Q28291972 | ||
Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types | Q28388497 | ||
Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets | Q28652892 | ||
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome | Q29547458 | ||
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups | Q29614700 | ||
Fast and accurate genotype imputation in genome-wide association studies through pre-phasing | Q29614942 | ||
An Expanded View of Complex Traits: From Polygenic to Omnigenic | Q30322686 | ||
A reference panel of 64,976 haplotypes for genotype imputation | Q33553419 | ||
Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. | Q33565679 | ||
Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer | Q33654352 | ||
Gene ontology analysis for RNA-seq: accounting for selection bias | Q33861598 | ||
Genome-wide association analysis in East Asians identifies breast cancer susceptibility loci at 1q32.1, 5q14.3 and 15q26.1. | Q34023796 | ||
Interpreting meta-analyses of genome-wide association studies | Q34187048 | ||
Integrative eQTL-based analyses reveal the biology of breast cancer risk loci | Q34194768 | ||
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses | Q34255194 | ||
Integrative analyses of genetic variation, epigenetic regulation, and the transcriptome to elucidate the biology of platinum sensitivity | Q35150207 | ||
Cell Specific eQTL Analysis without Sorting Cells | Q35587187 | ||
The support of human genetic evidence for approved drug indications | Q35677036 | ||
P4510 | describes a project that uses | ggplot2 | Q326489 |
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | quantitative trait locus | Q853421 |
P304 | page(s) | 130 | |
P577 | publication date | 2018-09-11 | |
P1433 | published in | Genome Biology | Q5533480 |
P1476 | title | Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity | |
P478 | volume | 19 |
Q96346134 | Deconvolution of bulk blood eQTL effects into immune cell subpopulations |
Q91845314 | Integrating germline and somatic genetics to identify genes associated with lung cancer |
Q64253673 | Pan-cancer transcriptomic analysis dissects immune and proliferative functions of APOBEC3 cytidine deaminases |
Q90050753 | The Cancer-Associated Genetic Variant Rs3903072 Modulates Immune Cells in the Tumor Microenvironment |
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