Michael I. Love
Michael I. Love
Biostatistics Dept and Genetics Dept, UNC-Chapel Hill
Verified email at email.unc.edu - Homepage
Title
Cited by
Cited by
Year
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
MI Love, W Huber, S Anders
Genome Biology 15 (12), 2014
209662014
Salmon provides fast and bias-aware quantification of transcript expression
R Patro, G Duggal, MI Love, RA Irizarry, C Kingsford
Nature methods 14 (4), 417-419, 2017
21032017
Orchestrating high-throughput genomic analysis with Bioconductor
W Huber, VJ Carey, R Gentleman, S Anders, M Carlson, BS Carvalho, ...
Nature methods 12 (2), 115-121, 2015
18512015
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
C Soneson, MI Love, MD Robinson
F1000Research 4, 2015
10282015
MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens
W Li, H Xu, T Xiao, L Cong, MI Love, F Zhang, RA Irizarry, JS Liu, ...
Genome Biology 15 (12), 554, 2014
5962014
Airway epithelial miRNA expression is altered in asthma
OD Solberg, EJ Ostrin, MI Love, JC Peng, NR Bhakta, L Hou, C Nguyen, ...
American Journal of Respiratory and Critical Care Medicine 186 (10), 965-974, 2012
1922012
X-exome sequencing of 405 unresolved families identifies seven novel intellectual disability genes
H Hu, SA Haas, J Chelly, H Van Esch, M Raynaud, APM De Brouwer, ...
Molecular psychiatry 21 (1), 133-148, 2016
1802016
RNA-Seq workflow: gene-level exploratory analysis and differential expression
MI Love, S Anders, V Kim, W Huber
F1000Research 4, 2015
1792015
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences
A Zhu, JG Ibrahim, MI Love
Bioinformatics 35 (12), 2084-2092, 2019
1482019
A benchmark for RNA-seq quantification pipelines
M Teng, MI Love, CA Davis, S Djebali, A Dobin, BR Graveley, S Li, ...
Genome biology 17 (1), 1-12, 2016
1302016
Deletions of chromosomal regulatory boundaries are associated with congenital disease
J Ibn-Salem, S Köhler, MI Love, HR Chung, N Huang, ME Hurles, ...
Genome biology 15 (9), 1-16, 2014
1172014
Static and dynamic DNA loops form AP-1-bound activation hubs during macrophage development
DH Phanstiel, K Van Bortle, D Spacek, GT Hess, MS Shamim, I Machol, ...
Molecular cell 67 (6), 1037-1048. e6, 2017
1122017
ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors
SR Starick, J Ibn-Salem, M Jurk, C Hernandez, MI Love, HR Chung, ...
Genome research 25 (6), 825-835, 2015
922015
Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation
MI Love, JB Hogenesch, RA Irizarry
Nature Biotechnology, 2016
772016
Modeling read counts for CNV detection in exome sequencing data
MI Love, A Myšičková, R Sun, V Kalscheuer, M Vingron, SA Haas
Statistical Applications in Genetics and Molecular Biology 11, 2011
702011
Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications
K Van den Berge, F Perraudeau, C Soneson, MI Love, D Risso, JP Vert, ...
Genome biology 19 (1), 1-17, 2018
542018
Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification
MI Love, C Soneson, R Patro
F1000Research 7, 2018
452018
Flexible expressed region analysis for RNA-seq with derfinder
L Collado-Torres, A Nellore, AC Frazee, C Wilks, MI Love, B Langmead, ...
Nucleic acids research 45 (2), e9-e9, 2017
372017
Role of the chromatin landscape and sequence in determining cell type-specific genomic glucocorticoid receptor binding and gene regulation
MI Love, MR Huska, M Jurk, R Schöpflin, SR Starick, K Schwahn, ...
Nucleic acids research 45 (4), 1805-1819, 2017
302017
SAFE-clustering: Single-cell aggregated (from ensemble) clustering for single-cell RNA-seq data
Y Yang, R Huh, HW Culpepper, Y Lin, MI Love, Y Li
Bioinformatics 35 (8), 1269-1277, 2019
262019
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