| Year |
Citation |
Score |
| 2019 |
Zeng W, Chen X, Duren Z, Wang Y, Jiang R, Wong WH. DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data. Nature Communications. 10: 4613. PMID 31601804 DOI: 10.1038/s41467-019-12547-1 |
0.6 |
|
| 2019 |
Li W, Wong WH, Jiang R. DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning. Nucleic Acids Research. PMID 30869141 DOI: 10.1093/nar/gkz167 |
0.6 |
|
| 2018 |
Liu Y, Yu C, Daley TP, Wang F, Cao WS, Bhate S, Lin X, Still C, Liu H, Zhao D, Wang H, Xie XS, Ding S, Wong WH, Wernig M, et al. CRISPR Activation Screens Systematically Identify Factors that Drive Neuronal Fate and Reprogramming. Cell Stem Cell. PMID 30318302 DOI: 10.1016/j.stem.2018.09.003 |
0.4 |
|
| 2018 |
Daley TP, Lin Z, Lin X, Liu Y, Wong WH, Qi LS. CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens. Genome Biology. 19: 159. PMID 30296940 DOI: 10.1186/s13059-018-1538-6 |
0.4 |
|
| 2018 |
Duren Z, Chen X, Zamanighomi M, Zeng W, Satpathy AT, Chang HY, Wang Y, Wong WH. Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations. Proceedings of the National Academy of Sciences of the United States of America. PMID 29987051 DOI: 10.1073/pnas.1805681115 |
0.6 |
|
| 2018 |
Zamanighomi M, Lin Z, Daley T, Chen X, Duren Z, Schep A, Greenleaf WJ, Wong WH. Unsupervised clustering and epigenetic classification of single cells. Nature Communications. 9: 2410. PMID 29925875 DOI: 10.1038/s41467-018-04629-3 |
0.52 |
|
| 2017 |
Wu M, Lin Z, Ma S, Chen T, Jiang R, Wong WH. Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks. Journal of Molecular Cell Biology. PMID 29300920 DOI: 10.1093/jmcb/mjx059 |
0.6 |
|
| 2017 |
Duren Z, Chen X, Jiang R, Wang Y, Wong WH. Modeling gene regulation from paired expression and chromatin accessibility data. Proceedings of the National Academy of Sciences of the United States of America. PMID 28576882 DOI: 10.1073/pnas.1704553114 |
0.6 |
|
| 2017 |
Zamanighomi M, Lin Z, Wang Y, Jiang R, Wong WH. Predicting transcription factor binding motifs from DNA-binding domains, chromatin accessibility and gene expression data. Nucleic Acids Research. PMID 28472398 DOI: 10.1093/nar/gkx358 |
0.6 |
|
| 2017 |
Chen X, Yang H, Wong WH. Phased Genome Sequencing Through Chromosome Sorting. Methods in Molecular Biology (Clifton, N.J.). 1551: 171-188. PMID 28138847 DOI: 10.1007/978-1-4939-6750-6_10 |
0.52 |
|
| 2016 |
Wang Y, Jiang R, Wong WH. Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data. National Science Review. 3: 240-251. PMID 28690910 DOI: 10.1093/nsr/nww025 |
0.6 |
|
| 2016 |
Lin Z, Yang C, Zhu Y, Duchi J, Fu Y, Wang Y, Jiang B, Zamanighomi M, Xu X, Li M, Sestan N, Zhao H, Wong WH. Simultaneous dimension reduction and adjustment for confounding variation. Proceedings of the National Academy of Sciences of the United States of America. PMID 27930330 DOI: 10.1073/pnas.1617317113 |
0.6 |
|
| 2014 |
Ma X, Xiao L, Wong WH. Learning regulatory programs by threshold SVD regression. Proceedings of the National Academy of Sciences of the United States of America. 111: 15675-80. PMID 25331876 DOI: 10.1073/pnas.1417808111 |
0.64 |
|
| 2011 |
Yang H, Chen X, Wong WH. Completely phased genome sequencing through chromosome sorting. Proceedings of the National Academy of Sciences of the United States of America. 108: 12-7. PMID 21169219 DOI: 10.1073/pnas.1016725108 |
0.52 |
|
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