Michael I. Love

According to our database, Michael I. Love authored at least 19 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.

Yu-Ning Huang, Michael I. Love, Cynthia Flaire Ronkowski, Dhrithi Deshpande, Lynn M. Schriml, Annie Wong-Beringer, Barend Mons, Russell Corbett-Detig, Christopher I Hunter, Jason H. Moore, Lana X. Garmire, T. B. K. Reddy, Winston A. Hide, Atul J. Butte, Mark D. Robinson, Serghei Mangul

CoRR, 2024

2023

Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data.

Hunyong Cho, Yixiang Qu, Chuwen Liu, Boyang Tang, Ruiqi Lyu, Bridget M. Lin, Jeffrey Roach, M. Andrea Azcarate-Peril, Apoena Aguiar Ribeiro, Michael I. Love, Kimon Divaris, Di Wu

Briefings Bioinform., September, 2023

bootRanges: flexible generation of null sets of genomic ranges for hypothesis testing.

Wancen Mu, Eric S. Davis, Stuart Lee, Mikhail G. Dozmorov, Douglas H. Phanstiel, Michael I. Love

Bioinform., May, 2023

matchRanges: generating null hypothesis genomic ranges via covariate-matched sampling.

Eric S. Davis, Wancen Mu, Stuart Lee, Mikhail G. Dozmorov, Michael I. Love, Douglas H. Phanstiel

Bioinform., May, 2023

excluderanges: exclusion sets for T2T-CHM13, GRCm39, and other genome assemblies.

Jonathan D. Ogata, Wancen Mu, Eric S. Davis, Bingjie Xue, J. Chuck Harrell, Nathan C. Sheffield, Douglas H. Phanstiel, Michael I. Love, Mikhail G. Dozmorov

Bioinform., April, 2023

Finding Groups of Cross-Correlated Features in Bi-View Data.

Miheer Dewaskar, John Palowitch, Mark He, Michael I. Love, Andrew B. Nobel

J. Mach. Learn. Res., 2023

2022

Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets.

Wancen Mu, Hirak Sarkar, Avi Srivastava, Kwangbom Choi, Rob Patro, Michael I. Love

Bioinform., 2022

Plotgardener: cultivating precise multi-panel figures in R.

Nicole E. Kramer, Eric S. Davis, Craig Wenger, Erika Deoudes, Sarah M. Parker, Michael I. Love, Douglas H. Phanstiel

Bioinform., 2022

2021

Compression of quantification uncertainty for scRNA-seq counts.

Scott Van Buren, Hirak Sarkar, Avi Srivastava, Naim U. Rashid, Rob Patro, Michael I. Love

Bioinform., 2021

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

Arjun Bhattacharya, Alina M. Hamilton, Helena Furberg, Eugene Pietzak, Mark P. Purdue, Melissa A. Troester, Katherine A. Hoadley, Michael I. Love

Briefings Bioinform., 2021

2020

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

Michael I. Love, Charlotte Soneson, Peter F. Hickey, Lisa K. Johnson, N. Tessa Pierce, Lori A. Shepherd, Martin Morgan, Rob Patro

PLoS Comput. Biol., 2020

Finding Stable Groups of Cross-Correlated Features in Multi-View data.

Miheer Dewaskar, John Palowitch, Mark He, Michael I. Love, Andrew B. Nobel

CoRR, 2020

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

Hirak Sarkar, Avi Srivastava, Héctor Corrada Bravo, Michael I. Love, Rob Patro

Bioinform., 2020

Consistency and overfitting of multi-omics methods on experimental data.

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

Briefings Bioinform., 2020

2019

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

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

Bioinform., 2019

SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data.

Yuchen Yang, Ruth Huh, Houston W. Culpepper, Yuan Lin, Michael I. Love, Yun Li

Bioinform., 2019

2018

coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers.

Alena van Bömmel, Michael I. Love, Ho-Ryun Chung, Martin Vingron

PLoS Comput. Biol., 2018

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

Michael I. Love, Charlotte Soneson, Rob Patro

F1000Research, 2018

2012

Breakpointer: using local mapping artifacts to support sequence breakpoint discovery from single-end reads.

Ruping Sun, Michael I. Love, Tomasz Zemojtel, Anne-Katrin Emde, Ho-Ryun Chung, Martin Vingron, Stefan A. Haas

Bioinform., 2012