| Year |
Citation |
Score |
| 2023 |
Yang M, Ali O, Bjørås M, Wang J. Identifying functional regulatory mutation blocks by integrating genome sequencing and transcriptome data. Iscience. 26: 107266. PMID 37520692 DOI: 10.1016/j.isci.2023.107266 |
0.362 |
|
| 2022 |
Farooq A, Trøen G, Delabie J, Wang J. Integrating whole genome sequencing, methylation, gene expression, topological associated domain information in regulatory mutation prediction: A study of follicular lymphoma. Computational and Structural Biotechnology Journal. 20: 1726-1742. PMID 35495111 DOI: 10.1016/j.csbj.2022.03.023 |
0.31 |
|
| 2020 |
Zhou Y, Cheng X, Yang Y, Li T, Li J, Huang TH, Wang J, Lin S, Jin VX. Modeling and analysis of Hi-C data by HiSIF identifies characteristic promoter-distal loops. Genome Medicine. 12: 69. PMID 32787954 DOI: 10.1186/S13073-020-00769-8 |
0.382 |
|
| 2020 |
Sahaf Naeini A, Farooq A, Bjørås M, Wang J. IGAP-integrative genome analysis pipeline reveals new gene regulatory model associated with nonspecific TF-DNA binding affinity. Computational and Structural Biotechnology Journal. 18: 1270-1286. PMID 32612751 DOI: 10.1016/J.Csbj.2020.05.024 |
0.453 |
|
| 2019 |
Batmanov K, Delabie J, Wang J. BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts. Frontiers in Genetics. 10: 282. PMID 31001324 DOI: 10.3389/Fgene.2019.00282 |
0.375 |
|
| 2019 |
Zhou Y, Gerrard DL, Wang J, Li T, Yang Y, Fritz AJ, Rajendran M, Fu X, Schiff R, Lin S, Frietze S, Jin VX. Temporal dynamic reorganization of 3D chromatin architecture in hormone-induced breast cancer and endocrine resistance. Nature Communications. 10: 1522. PMID 30944316 DOI: 10.1038/S41467-019-09320-9 |
0.325 |
|
| 2018 |
Gerrard DL, Wang Y, Gaddis M, Zhou Y, Wang J, Witt H, Lin S, Farnham PJ, Jin VX, Frietze SE. Three-dimensional analysis reveals altered chromatin interaction by enhancer inhibitors harbors TCF7L2-regulated cancer gene signature. Journal of Cellular Biochemistry. PMID 30548288 DOI: 10.1002/Jcb.27449 |
0.417 |
|
| 2017 |
Batmanov K, Wang J. Predicting Variation of DNA Shape Preferences in Protein-DNA Interaction in Cancer Cells with a New Biophysical Model. Genes. 8. PMID 28927002 DOI: 10.3390/Genes8090233 |
0.381 |
|
| 2017 |
Batmanov K, Wang W, Bjørås M, Delabie J, Wang J. Integrative whole-genome sequence analysis reveals roles of regulatory mutations in BCL6 and BCL2 in follicular lymphoma. Scientific Reports. 7: 7040. PMID 28765546 DOI: 10.1038/S41598-017-07226-4 |
0.382 |
|
| 2016 |
Wang J, Wu Q, Hu XT, Tian T. An integrated approach to infer dynamic protein-gene interactions - a case study of the human P53 protein. Methods (San Diego, Calif.). PMID 27514497 DOI: 10.1016/J.Ymeth.2016.08.001 |
0.322 |
|
| 2015 |
Wang J, Batmanov K. BayesPI-BAR: a new biophysical model for characterization of regulatory sequence variations. Nucleic Acids Research. 43: e147. PMID 26202972 DOI: 10.1093/Nar/Gkv733 |
0.432 |
|
| 2015 |
Wang J, Malecka A, Trøen G, Delabie J. Comprehensive genome-wide transcription factor analysis reveals that a combination of high affinity and low affinity DNA binding is needed for human gene regulation. Bmc Genomics. 16: S12. PMID 26099425 DOI: 10.1186/1471-2164-16-S7-S12 |
0.46 |
|
| 2014 |
Wang J. Quality versus accuracy: result of a reanalysis of protein-binding microarrays from the DREAM5 challenge by using BayesPI2 including dinucleotide interdependence. Bmc Bioinformatics. 15: 289. PMID 25158938 DOI: 10.1186/1471-2105-15-289 |
0.408 |
|
| 2014 |
Ward LD, Wang J, Bussemaker HJ. Characterizing a collective and dynamic component of chromatin immunoprecipitation enrichment profiles in yeast. Bmc Genomics. 15: 494. PMID 24947676 DOI: 10.1186/1471-2164-15-494 |
0.664 |
|
| 2014 |
Shen B, Ma J, Wang J, Wang J. Biomedical informatics and computational biology for high-throughput data analysis. Thescientificworldjournal. 2014: 398181. PMID 24688384 DOI: 10.1155/2014/398181 |
0.338 |
|
| 2013 |
Wang J, Lan X, Hsu PY, Hsu HK, Huang K, Parvin J, Huang TH, Jin VX. Genome-wide analysis uncovers high frequency, strong differential chromosomal interactions and their associated epigenetic patterns in E2-mediated gene regulation. Bmc Genomics. 14: 70. PMID 23368971 DOI: 10.1186/1471-2164-14-70 |
0.374 |
|
| 2012 |
Wang J, Tian T. Effective non-linear methods for inferring genetic regulation from time-series microarray gene expression data Methods in Molecular Biology. 802: 235-246. PMID 22130884 DOI: 10.1007/978-1-61779-400-1_15 |
0.398 |
|
| 2012 |
Kim G, Davidson B, Henning R, Wang J, Yu M, Annunziata C, Hetland T, Kohn EC. Adhesion molecule protein signature in ovarian cancer effusions is prognostic of patient outcome Cancer. 118: 1543-1553. PMID 22009736 DOI: 10.1002/Cncr.26449 |
0.306 |
|
| 2011 |
Lan X, Adams C, Landers M, Dudas M, Krissinger D, Marnellos G, Bonneville R, Xu M, Wang J, Huang TH, Meredith G, Jin VX. High resolution detection and analysis of CpG dinucleotides methylation using MBD-Seq technology. Plos One. 6: e22226. PMID 21779396 DOI: 10.1371/Journal.Pone.0022226 |
0.361 |
|
| 2011 |
Wang J. Computational study of associations between histone modification and protein-DNA binding in yeast genome by integrating diverse information. Bmc Genomics. 12: 172. PMID 21457549 DOI: 10.1186/1471-2164-12-172 |
0.427 |
|
| 2010 |
Mikalsen B, Fosby B, Wang J, Hammarström C, Bjærke H, Lundström M, Kasprzycka M, Scott H, Line P‐, Haraldsen G. Genome-wide transcription profile of endothelial cells after cardiac transplantation in the rat. American Journal of Transplantation. 10: 1534-1544. PMID 20642680 DOI: 10.1111/J.1600-6143.2010.03157.X |
0.323 |
|
| 2010 |
Wang J, Tian T. Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53 Bmc Bioinformatics. 11. PMID 20085646 DOI: 10.1186/1471-2105-11-36 |
0.374 |
|
| 2009 |
Wang J, Morigen. BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors. Bmc Bioinformatics. 10: 345. PMID 19857274 DOI: 10.1186/1471-2105-10-345 |
0.44 |
|
| 2008 |
Wang J. Computational biology of genome expression and regulation--a review of microarray bioinformatics. Journal of Environmental Pathology, Toxicology and Oncology : Official Organ of the International Society For Environmental Toxicology and Cancer. 27: 157-79. PMID 18652564 DOI: 10.1615/Jenvironpatholtoxicoloncol.V27.I3.10 |
0.344 |
|
| 2007 |
Wang J. A new framework for identifying combinatorial regulation of transcription factors: a case study of the yeast cell cycle. Journal of Biomedical Informatics. 40: 707-25. PMID 17418646 DOI: 10.1016/J.Jbi.2007.02.003 |
0.424 |
|
| 2006 |
Moorman C, Sun LV, Wang J, de Wit E, Talhout W, Ward LD, Greil F, Lu XJ, White KP, Bussemaker HJ, van Steensel B. Hotspots of transcription factor colocalization in the genome of Drosophila melanogaster. Proceedings of the National Academy of Sciences of the United States of America. 103: 12027-32. PMID 16880385 DOI: 10.1073/Pnas.0605003103 |
0.67 |
|
| 2005 |
Meza-Zepeda LA, Kresse SH, Barragan-Polania AH, Tveito S, Wang J, Kristiansen BE, Kuo W, Maelandsmo GM, Fodstad O, Gregory SG, Gray JW, Myklebost O. P50: Profiling DNA copy number changes in sarcomas by array comparative genomic hybridisation European Journal of Medical Genetics. 48: 512-513. DOI: 10.1016/J.Ejmg.2005.10.089 |
0.326 |
|
| 2004 |
Wang J, Meza-Zepeda LA, Kresse SH, Myklebost O. M-CGH: analysing microarray-based CGH experiments. Bmc Bioinformatics. 5: 74. PMID 15189572 DOI: 10.1186/1471-2105-5-74 |
0.342 |
|
| 2003 |
Wang J, Myklebost O, Hovig E. MGraph: graphical models for microarray data analysis. Bioinformatics (Oxford, England). 19: 2210-1. PMID 14630649 DOI: 10.1093/Bioinformatics/Btg298 |
0.31 |
|
| Show low-probability matches. |