| Year |
Citation |
Score |
| 2015 |
Oyen D, Lane T. Transfer learning for Bayesian discovery of multiple Bayesian networks Knowledge and Information Systems. 43. DOI: 10.1007/S10115-014-0775-6 |
0.462 |
|
| 2014 |
Lakin MR, Minnich A, Lane T, Stefanovic D. Design of a biochemical circuit motif for learning linear functions. Journal of the Royal Society, Interface / the Royal Society. 11: 20140902. PMID 25401175 DOI: 10.1098/Rsif.2014.0902 |
0.394 |
|
| 2014 |
Plis SM, Sui J, Lane T, Roy S, Clark VP, Potluru VK, Huster RJ, Michael A, Sponheim SR, Weisend MP, Calhoun VD. High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. Neuroimage. 102: 35-48. PMID 23876245 DOI: 10.1016/J.Neuroimage.2013.07.041 |
0.314 |
|
| 2013 |
Oyen D, Lane T. Bayesian discovery of multiple bayesian networks via transfer learning Proceedings - Ieee International Conference On Data Mining, Icdm. 577-586. DOI: 10.1109/ICDM.2013.90 |
0.365 |
|
| 2012 |
Yackley B, Lane T. Smoothness and Structure Learning by Proxy. Proceedings of the ... International Conference On Machine Learning. International Conference On Machine Learning. 2012: 1663-1670. PMID 26753178 |
0.586 |
|
| 2012 |
Clark VP, Coffman BA, Mayer AR, Weisend MP, Lane TD, Calhoun VD, Raybourn EM, Garcia CM, Wassermann EM. TDCS guided using fMRI significantly accelerates learning to identify concealed objects. Neuroimage. 59: 117-28. PMID 21094258 DOI: 10.1016/J.Neuroimage.2010.11.036 |
0.309 |
|
| 2011 |
Plis SM, Weisend MP, Damaraju E, Eichele T, Mayer A, Clark VP, Lane T, Calhoun VD. Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Computers in Biology and Medicine. 41: 1156-65. PMID 21592468 DOI: 10.1016/J.Compbiomed.2011.04.011 |
0.303 |
|
| 2011 |
Anderson B, Quist D, Neil J, Storlie C, Lane T. Graph-based malware detection using dynamic analysis Journal in Computer Virology. 7: 247-258. DOI: 10.1007/S11416-011-0152-X |
0.309 |
|
| 2009 |
Roy S, Plis S, Werner-Washburne M, Lane T. Scalable learning of large networks. Iet Systems Biology. 3: 404-13. PMID 21028930 DOI: 10.1049/Iet-Syb.2008.0161 |
0.372 |
|
| 2009 |
Roy S, Lane T, Werner-Washburne M. Learning structurally consistent undirected probabilistic graphical models. Proceedings of the ... International Conference On Machine Learning. International Conference On Machine Learning. 382: 905-912. PMID 20485538 DOI: 10.1145/1553374.1553490 |
0.314 |
|
| 2009 |
Qiu S, Lane T. A framework for multiple kernel support vector regression and its applications to siRNA efficacy prediction. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 6: 190-9. PMID 19407344 DOI: 10.1109/Tcbb.2008.139 |
0.55 |
|
| 2009 |
Burge J, Lane T, Link H, Qiu S, Clark VP. Discrete dynamic Bayesian network analysis of fMRI data. Human Brain Mapping. 30: 122-37. PMID 17990301 DOI: 10.1002/Hbm.20490 |
0.64 |
|
| 2009 |
Scully M, Anderson B, Gasparovic C, Magnotta V, Pieper S, Kikinis R, Pellegrino P, Lane T, Bockholt H. A Synergistic Combination of Supervised Machine Learning Methods for Analysis of White Matter Lesions in Neuropsychiatric Systemic Lupus Erythematosus Neuroimage. 47. DOI: 10.1016/S1053-8119(09)70233-2 |
0.335 |
|
| 2008 |
Qiu S, Lane T. SiRNA silencing efficacy prediction using the RNA string kernel. International Journal of Computational Biology and Drug Design. 1: 103-21. PMID 20058484 DOI: 10.1504/Ijcbdd.2008.020189 |
0.512 |
|
| 2008 |
Kim D, Burge J, Lane T, Pearlson GD, Kiehl KA, Calhoun VD. Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophrenia. Neuroimage. 42: 1560-8. PMID 18602482 DOI: 10.1016/J.Neuroimage.2008.05.065 |
0.574 |
|
| 2008 |
Qiu S, Lane T. Multiple kernel support vector regression for siRNA efficacy prediction Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4983: 367-378. DOI: 10.1007/978-3-540-79450-9_34 |
0.505 |
|
| 2007 |
Qiu S, Lane T. Implications of phase transitions in knockdown networks of transitive RNAi. Ieee Transactions On Nanobioscience. 6: 68-76. PMID 17393852 DOI: 10.1109/TNB.2007.891904 |
0.46 |
|
| 2007 |
Qiu S, Lane T. The RNA string kernel for siRNA efficacy prediction Proceedings of the 7th Ieee International Conference On Bioinformatics and Bioengineering, Bibe. 307-314. DOI: 10.1109/BIBE.2007.4375581 |
0.481 |
|
| 2007 |
Qiu S, Lane T, Yang C. Efficient search algorithms for RNAi target detection The Journal of Supercomputing. 42: 303-319. DOI: 10.1007/S11227-007-0121-9 |
0.508 |
|
| 2007 |
Qiu S, Lane T. RNA Interference and microRNA Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications. 113-144. DOI: 10.1002/9780470124642.ch7 |
0.418 |
|
| 2006 |
Qiu S, Lane T. RNA string kernels for RNAi off-target evaluation. International Journal of Bioinformatics Research and Applications. 2: 132-46. PMID 18048158 DOI: 10.1504/Ijbra.2006.009764 |
0.515 |
|
| 2006 |
Qiu S, Lane T. Phase transitions in gene knockdown networks of transitive RNAi Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3992: 895-903. DOI: 10.1007/11758525_119 |
0.44 |
|
| 2005 |
Qiu S, Adema CM, Lane T. A computational study of off-target effects of RNA interference. Nucleic Acids Research. 33: 1834-47. PMID 15800213 DOI: 10.1093/Nar/Gki324 |
0.505 |
|
| 2005 |
Burge J, Lane T. Learning class-discriminative dynamic Bayesian networks Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 97-104. DOI: 10.1145/1102351.1102364 |
0.538 |
|
| 2003 |
Lane T, Brodley CE. Machine Learning. 51: 73-107. DOI: 10.1023/A:1021830128811 |
0.335 |
|
| 1999 |
Lane T, Brodley CE. Temporal sequence learning and data reduction for anomaly detection Acm Transactions On Information and System Security (Tissec). 2: 295-331. DOI: 10.1145/322510.322526 |
0.339 |
|
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