| Enzyme-instructed self-assembly leads to the activation of optical properties for selective fluorescence detection and photodynamic ablation of cancer cells S Ji, H Gao, W Mu, X Ni, X Yi, J Shen, Q Liu, P Bao, D Ding Journal of Materials Chemistry B 6 (17), 2566-2573, 2018 | 48 | 2018 |
| Infant gut microbiome composition is associated with non-social fear behavior in a pilot study AL Carlson, K Xia, MA Azcarate-Peril, SP Rosin, JP Fine, W Mu, JB Zopp, ... Nature Communications 12 (1), 3294, 2021 | 45 | 2021 |
| matchRanges: generating null hypothesis genomic ranges via covariate-matched sampling ES Davis, W Mu, S Lee, MG Dozmorov, MI Love, DH Phanstiel Bioinformatics 39 (5), btad197, 2023 | 11 | 2023 |
| Community-wide hackathons to identify central themes in single-cell multi-omics KA Lê Cao, AJ Abadi, EF Davis-Marcisak, L Hsu, A Arora, A Coullomb, ... Genome biology 22, 1-21, 2021 | 11 | 2021 |
| Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets W Mu, H Sarkar, A Srivastava, K Choi, R Patro, MI Love Bioinformatics 38 (10), 2773-2780, 2022 | 9 | 2022 |
| bootRanges: flexible generation of null sets of genomic ranges for hypothesis testing W Mu, ES Davis, S Lee, MG Dozmorov, DH Phanstiel, MI Love Bioinformatics 39 (5), btad190, 2023 | 7 | 2023 |
| Next-generation sequencing (NGS) in metastatic colorectal cancer (mCRC): Novel mutated genes and their effect on response to therapy (Alliance) F Innocenti, N Rashid, M Wancen, FS Ou, X Qu, S Denning, M Bertagnolli, ... Annals of Oncology 30, v198-v199, 2019 | 7 | 2019 |
| CTCF: an R/bioconductor data package of human and mouse CTCF binding sites MG Dozmorov, W Mu, ES Davis, S Lee, TJ Triche Jr, DH Phanstiel, ... Bioinformatics Advances 2 (1), vbac097, 2022 | 6 | 2022 |
| excluderanges: exclusion sets for T2T-CHM13, GRCm39, and other genome assemblies JD Ogata, W Mu, ES Davis, B Xue, JC Harrell, NC Sheffield, DH Phanstiel, ... Bioinformatics 39 (4), btad198, 2023 | 4 | 2023 |
| DNA mutational profiling in patients with colorectal cancer treated with standard of care reveals differences in outcome and racial distribution of mutations F Innocenti, W Mu, X Qu, FS Ou, O Kabbarah, CD Blanke, AP Venook, ... Journal of Clinical Oncology 42 (4), 399-409, 2024 | 3 | 2024 |
| The tidyomics ecosystem: Enhancing omic data analyses WJ Hutchison, TJ Keyes, Tidyomics Consortium, LH Crowell, C Soneson, ... bioRxiv, 2023.09. 10.557072, 2023 | 1 | 2023 |
| On the Identifiability and Interpretability of Gaussian Process Models J Chen, W Mu, Y Li, D Li Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Gaussian Processes for Time Series with Lead-Lag Effects with applications to biology data W Mu, ES Davis, K Reed, D Phanstiel, MI Love, D Li arXiv preprint arXiv:2401.07400, 2024 | | 2024 |
| The Impact of Genomic Variation on Function (IGVF) Consortium I Consortium arXiv preprint arXiv:2307.13708v1, 2023 | | 2023 |
| MultImp: Multiomics Generative Models for Data Imputation JE Park, W Mu, Y Jiao, MI Love, M Niethammer, N Stanley The 2021 ICML Workshop on Computational Biology, 2021 | | 2021 |
| DNA mutational profiling in colorectal cancer patients treated with standard of care reveals differences in outcome and racial distribution of mutations F Innocenti, W Mu, X Qu, FS Ou, O Kabbarah, M Bertagnolli, CD Blanke, ... | | |
| Supplement for" On the Identifiability and Interpretability of Gaussian Process Models J Chen, W Mu, Y Li, D Li | | |
Michael I. LoveAssociate Professor, Biostatistics & Genetics, UNC-Chapel HillVerified email at email.unc.edu
