Author

Andrew Lamb

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Craig Hersh· 1 shared Don Sin· 1 shared Edwin Silverman· 1 shared Eitan Halper-Stromberg· 1 shared Irving Hsu· 1 shared Joe Paggi· 1 shared Kevin TianiD· 1 shared Ma’en Obeidat· 1 shared

Activity by Year

2015-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Craig Hersh

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2 papers

Recent·Most cited

Predicting Transcriptional Regulatory Activities with Deep Convolutional Networks

Joe Paggi, Andrew Lamb, Kevin Tian, Irving Hsu, Pierre-Louis Cedoz, Prasad Kawthekar

The paper trains a multitask convolutional neural network on MPRA data to predict transcriptional regulatory activity across cell types and promoters, finding that importance scores correlate with conservation and transcription factor binding.

bioRxiv · Jan 12, 2017 · PreprintGenomics

Buffet-Style Expression Factor-Adjusted Discovery Increases the Yield of Robust Expression Quantitative Trait Loci

Peter Castaldi, Ma’en Obeidat, Eitan Halper-Stromberg, Andrew Lamb, Margaret Parker, Robert Chase, Vincent Carey, Ruth Tal-Singer, Edwin Silverman, Don Sin, Peter D Paré, Craig Hersh

The paper shows that adjusting for expression factors reduces eQTL detection but proposes a buffet-style approach to balance power and accuracy.

bioRxiv · Oct 11, 2015 · PreprintGenomics