Michael I Love

发表

Orchestrating high-throughput genomic analysis with Bioconductor

Raphael Gottardo, Robert Gentleman, Wolfgang Huber, 2015, Nature Methods.

An approach for normalization and quality control for NanoString RNA expression data.

Arjun Bhattacharya, Mark P Purdue, Michael I Love, 2020, Briefings in bioinformatics.

Salmon provides fast and bias-aware quantification of transcript expression

Rob Patro, Geet Duggal, Carl Kingsford, 2017, Nature Methods.

Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification

Charlotte Soneson, Rob Patro, Michael I Love, 2018, F1000Research.

Consistency and overfitting of multi-omics methods on experimental data

Dan-Yu Lin, Michael I Love, Sean D McCabe, 2019, Briefings Bioinform..

Tximeta: Reference sequence checksums for provenance identification in RNA-seq

Charlotte Soneson, Rob Patro, Michael I Love, 2020, PLoS computational biology.

Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data

Rob Patro, Avi Srivastava, Hirak Sarkar, 2020, Bioinformatics.

Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences

Joseph G Ibrahim, Michael I Love, Anqi Zhu, 2018, bioRxiv.

Static and dynamic DNA loops form AP-1 bound activation hubs during macrophage development

Michael P Snyder, Ido Machol, Erez Lieberman Aiden, 2017, bioRxiv.

Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference

Geet Duggal, Carl Kingsford, Rob Patro, 2017, Nature Methods.

Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications

Charlotte Soneson, Jean-Philippe Vert, Sandrine Dudoit, 2018, Genome Biology.

Nonparametric expression analysis using inferential replicate counts

Joseph G Ibrahim, Avi Srivastava, Rob Patro, 2019, bioRxiv.

Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification

Charlotte Soneson, Rob Patro, Michael I Love, 2018, F1000Research.

Adipose Tissue Gene Expression Associations Reveal Hundreds of Candidate Genes for Cardiometabolic Traits.

Dan-Yu Lin, Christian Fuchsberger, Michael I Love, 2019, American journal of human genetics.

A junction coverage compatibility score to quantify the reliability of transcript abundance estimates and annotation catalogs

Charlotte Soneson, Rob Patro, Michael I Love, 2018, Life Science Alliance.

Statistical Applications in Genetics and Molecular Biology Modeling Read Counts for CNV Detection in Exome Sequencing Data

Martin Vingron, Michael I Love, Alena Myšičková, 2011 .