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MARK ROBINSON
MARK ROBINSON
Senior Research Scientist, Amazon Web Services
Подтвержден адрес электронной почты в домене amazon.com
Название
Процитировано
Процитировано
Год
The African coelacanth genome provides insights into tetrapod evolution
CT Amemiya, J Alföldi, AP Lee, S Fan, H Philippe, I MacCallum, I Braasch, ...
Nature 496 (7445), 311-316, 2013
7392013
Myxobacteria, polarity, and multicellular morphogenesis
D Kaiser, M Robinson, L Kroos
Cold Spring Harbor perspectives in biology 2 (8), a000380, 2010
1152010
Tetrapod limb and sarcopterygian fin regeneration share a core genetic programme
AF Nogueira, CM Costa, J Lorena, RN Moreira, GN Frota-Lima, C Furtado, ...
Nature communications 7 (1), 13364, 2016
622016
Transcription factor MrpC binds to promoter regions of hundreds of developmentally-regulated genes in Myxococcus xanthus
M Robinson, B Son, D Kroos, L Kroos
BMC genomics 15, 1-23, 2014
352014
Atypical RNAs in the coelacanth transcriptome
A Nitsche, G Doose, H Tafer, M Robinson, NR Saha, M Gerdol, A Canapa, ...
Journal of Experimental Zoology Part B: Molecular and Developmental …, 2014
242014
Using feature selection filtering methods for binding site predictions
Y Sun, M Robinson, R Adams, R Te Boekhorst, AG Rust, N Davey
2006 5th IEEE International Conference on Cognitive Informatics 1, 566-571, 2006
232006
IMPROVING COMPUTATIONAL PREDICTIONS OF CIS-REGULATORY BINDING SITES
M Robinson, Y Sun, R Te Boekhorst, P Kaye, R Adams, N Davey, A RUST
202006
Using real-valued meta classifiers to integrate binding site predictions
Y Sun, M Robinson, R Adams, P Kaye, AG Rust, N Davey
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
152005
Using pre & post-processing methods to improve binding site predictions
Y Sun, CG Castellano, M Robinson, R Adams, AG Rust, N Davey
Pattern Recognition 42 (9), 1949-1958, 2009
142009
Using sampling methods to improve binding site predictions
Y Sun, M Robinson, RG Adams, R Te Boekhorst, AG Rust, N Davey
In: Procs of the 14th European Symposium on Artificial Neural Networks …, 2006
142006
Transcription binding site prediction using Markov models
I Abnizova, AG Rust, M Robinson, R Te Boekhorst, WR Gilks
Journal of Bioinformatics and Computational Biology 4 (02), 425-441, 2006
92006
Integrating binding site predictions using non-linear classification methods
Y Sun, M Robinson, R Adams, P Kaye, A Rust, N Davey
International Workshop on Deterministic and Statistical Methods in Machine …, 2004
72004
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
Y Sun, M Robinson, R Adams, A Rust, N Davey
Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague …, 2008
62008
Combining experts in order to identify binding sites in yeast and mouse genomic data
M Robinson, CG Castellano, F Rezwan, R Adams, N Davey, A Rust, ...
Neural Networks 21 (6), 856-861, 2008
52008
Integrating binding site predictions using meta classification methods
Y Sun, M Robinson, R Adams, AG Rust, P Kaye, N Davey
Adaptive and Natural Computing Algorithms: Proceedings of the International …, 2005
52005
Effect of using varying negative examples in transcription factor binding site predictions
F Rezwan, Y Sun, N Davey, R Adams, AG Rust, M Robinson
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2011
42011
Integrating genomic binding site predictions using real-valued meta classifiers
Y Sun, M Robinson, R Adams, R Te Boekhorst, AG Rust, N Davey
Neural Computing and Applications 18, 577-590, 2009
42009
Identifying binding sites in sequential genomic data
M Robinson, CG Castellano, R Adams, N Davey, Y Sun
Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007
42007
Using real-valued meta classifiers to integrate and contextualize binding site predictions
M Robinson, O Sharabi, Y Sun, R Adams, R te Boekhorst, AG Rust, ...
Adaptive and Natural Computing Algorithms: 8th International Conference …, 2007
42007
Predicting Binding Sites in the Mouse Genome
Y Sun, M Robinson, R Adams, N Davey, A Rust
Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007
32007
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Статьи 1–20