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Alvaro N Barbeira

Showing results (1-10 of 18) with videos related to

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Nature Communications|March 4, 2021
A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and predictionYanyu Liang, François Aguet, Alvaro N Barbeira, et al.
Plos Genetics|January 23, 2019
Integrating predicted transcriptome from multiple tissues improves association detectionAlvaro N Barbeira, Milton Pividori, Jiamao Zheng, et al.
Nature Genetics|December 13, 2017
Annotation-free quantification of RNA splicing using LeafCutterYang I Li, David A Knowles, Jack Humphrey, et al.
American Journal of Human Genetics|May 10, 2023
A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genesGuimin Gao, Peter N Fiorica, Julian McClellan, et al.
Genome Biology|September 13, 2018
Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purityPaul Geeleher, Aritro Nath, Fan Wang, et al.
American Journal of Human Genetics|May 11, 2024
A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancerGuimin Gao, Julian McClellan, Alvaro N Barbeira, et al.
Genetic Epidemiology|April 6, 2019
Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traitsHeather E Wheeler, Sally Ploch, Alvaro N Barbeira, et al.
Genetic Epidemiology|September 23, 2020
Fine-mapping and QTL tissue-sharing information improves the reliability of causal gene identificationAlvaro N Barbeira, Owen J Melia, Yanyu Liang, et al.
Genome Biology|September 11, 2020
sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expressionYuan He, Surya B Chhetri, Marios Arvanitis, et al.
Nature Genetics|March 31, 2019
Opportunities and challenges for transcriptome-wide association studiesMichael Wainberg, Nasa Sinnott-Armstrong, Nicholas Mancuso, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Nature Communications|March 4, 2021
A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and predictionYanyu Liang, François Aguet, Alvaro N Barbeira, et al.
Plos Genetics|January 23, 2019
Integrating predicted transcriptome from multiple tissues improves association detectionAlvaro N Barbeira, Milton Pividori, Jiamao Zheng, et al.
Nature Genetics|December 13, 2017
Annotation-free quantification of RNA splicing using LeafCutterYang I Li, David A Knowles, Jack Humphrey, et al.
American Journal of Human Genetics|May 10, 2023
A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genesGuimin Gao, Peter N Fiorica, Julian McClellan, et al.
Genome Biology|September 13, 2018
Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purityPaul Geeleher, Aritro Nath, Fan Wang, et al.
American Journal of Human Genetics|May 11, 2024
A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancerGuimin Gao, Julian McClellan, Alvaro N Barbeira, et al.
Genetic Epidemiology|April 6, 2019
Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traitsHeather E Wheeler, Sally Ploch, Alvaro N Barbeira, et al.
Genetic Epidemiology|September 23, 2020
Fine-mapping and QTL tissue-sharing information improves the reliability of causal gene identificationAlvaro N Barbeira, Owen J Melia, Yanyu Liang, et al.
Genome Biology|September 11, 2020
sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expressionYuan He, Surya B Chhetri, Marios Arvanitis, et al.
Nature Genetics|March 31, 2019
Opportunities and challenges for transcriptome-wide association studiesMichael Wainberg, Nasa Sinnott-Armstrong, Nicholas Mancuso, et al.
Pageof 2