|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The Need of Industry to Go FAIR显示文摘The industry sector is a very large producer and consumer of data,and many companies traditionally focused on production or manufacturing are now relying on the analysis of large amounts of data to develop new products and services.As many of the data sources needed are distributed and outside the company,FAIR data will have a major impact,both by reducing the existing internal data silos and by enabling the efficient integration with external(public and commercial)data.Many companies are still in the early phases of internal data”FAIRification”,providing opportunities for SMEs and academics to apply and develop their expertise on FAIR data in collaborations and public-private partnerships.For a global Internet of FAIR Data&Services to thrive,also involving industry,professional tools and services are essential.FAIR metrics and certifications on individuals,data,organizations,and software,must ensure that data producers and consumers have independent quality metrics on their data.In this opinion article we reflect on some industry specific challenges of FAIR implementation to be dealt with when choices are made regarding”Industry GOing FAIR”. | Herman van Vlijmen Albert Mons Arne Waalkens Wouter Franke Arie Baak Gerbrand Ruiter Christine Kirkpatrick Luiz Olavo Bonino da Silva Santos Bert Meerman Renger Jellema Derk Arts Martijn Kersloot Sebastiaan Knijnenburg Scott Lusher Rudi Verbeeck Jean-Marc Neefs | 2020 | Data Intelligence2020，2，1： | 4 |
| 2 | SMARCE1 suppresses EGFR expression and controls responses to MET and ALK inhibitors in lung cancer显示文摘 | Andreas I Papadakis Chong Sun Theo A Knijnenburg Yibo Xue Wipawadee Gremrum Michael Holzel Wouter Nijkamp Lodewyk FA Wessels Roderick L Beijersbergen Rene Bernards Sidong Huang | 2015 | Cell Research2015，25，4： | 4 |
| 3 | Integration of Known Transcription Factor Binding Site Information and Gene Expression Data to Advance from Co-Expression to Co-Regulation显示文摘The common approach to find co-regulated genes is to cluster genes based on gene expression. However, due to the limited information present in any dataset, genes in the same cluster might be co-expressed but not necessarily co-regulated. In this paper, we propose to integrate known transcription factor binding site information and gene expression data into a single clustering scheme. This scheme will find clusters of co-regulated genes that are not only expressed similarly under the measured conditions, but also share a regulatory structure that may explain their common regulation. We demonstrate the utility of this approach on a microarray dataset of yeast grown under different nutrient and oxygen limitations. Our integrated clustering method not only unravels many regulatory modules that are consistent with current biological knowledge, but also provides a more profound understanding of the underlying process. The added value of our approach, compared with the clustering solely based on gene expression, is its ability to uncover clusters of genes that are involved in more specific biological processes and are evidently regulated by a set of transcription factors. | Maarten Clements Eugene P. van Someren Theo A. Knijnenburg Marcel J.T. Reinders | 2007 | Genomics, Proteomics & Bioinformatics2007，5，2： | 4 |
| 4 | MED12 controls the response to multiple cancer drugs through regulation of TGF-β receptor signaling显示文摘 | Huang S Holzel M Knijnenburg T | 2012 | Cell2012，151，5： | 1 |
| 5 | MED12 controls the re- sponse to multiple cancer drugs through regulation of TGF-I3 receptor signaling显示文摘 | Huang S Hslzel M Knijnenburg T | 2012 | Cell2012，151，5： | 1 |
| 6 | MED12 Controls the Response to Multiple Cancer Drugs through Regulation of TGF-β Receptor Signaling显示文摘 | Sidong Huang Michael H?lzel Theo Knijnenburg Andreas Schlicker Paul Roepman Ultan McDermott Mathew Garnett Wipawadee Grernrum Chong Sun Anirudh Prahallad Floris H. Groenendijk Lorenza Mittempergher Wouter Nijkamp Jacques Neefjes Ramon Salazar Peter ten Di | 2012 | Cell2012，，5： | 1 |
| 7 | Generic and specific transcriptional responses to different weak organic acids in anaerobic chemostat cultures of Saccharomyces cerevisiae 显示文摘 | Abbott D A Knijnenburg T A De Poorter L M I | 2007 | FEMS Yeast Research2007，，6： | 1 |
| 8 | The Effect of Cache Models on Iterative Compilation for Combined Tiling and Unrolling显示文摘 | Knijnenburg P M | 2004 | Concurrency and Computation: Practice and Experience2004，16，23： | 1 |
| 9 | MED12 controls the re- sponse to multiple cancer drugs through regulation of TGF - beta receptor signaling显示文摘 | Huang S M Hoelzel T Knijnenburg | 2012 | Cell2012，151，5： | 1 |
| 10 | Combined selection of tile sizes and unroll factors using iterative compilation 显示文摘 | Kisuki T Knijnenburg P O'Boyle M | 2003 | The Journal of Supercomputing2003，24，1： | 1 |
| 11 | The effect of cache models on iterative compilation for combined tiling and unrolling显示文摘 | Knijnenburg P M W | 2004 | Concurrency and Computation:Practice and Experience2004，16，23： | 1 |
| 12 | MED12controls the response to multiple cancer drugsthrough regulation of TGF-beta receptor signaling显示文摘 | Huang S Holzel M Knijnenburg T | 2012 | Cell2012，151，5： | 1 |
| 13 | MED12 controls the response to multiple cancer drugs through regulation of TGF-β receptor signaling显示文摘 | Knijnenburg T Schlicker A Huang S | | 0，，5： | 1 |
| 14 | Endothelial cell chimerism after renal transplantation and vascular rejection 显示文摘 | Lagaaij EL Cramer Knijnenburg GF van Kemenade FJ | 2001 | Lancet2001，357，9249： | 1 |
| 15 | MED12 controls the response to multiple cancer drugs through regulation of TGF- β receptor signaling显示文摘 | Huang S Holzel M Knijnenburg T | 2012 | Cell2012，151，： | 1 |
| 16 | Explaining the user experience of recommender systems显示文摘 | KNIJNENBURG B P WILLEMSEN M C GANTNER Z | 2012 | User Model User-Adap Inter2012，22，： | 1 |
| 17 | Surveillance of hepatic late adverse effects in a large cohort of long-term survivors of childhood cancer: Prevalence and risk factors显示文摘 | Renée L. Mulder Leontien C.M. Kremer Bart G.P. Koot Marc A. Benninga Sebastiaan L. Knijnenburg Helena J.H. van der Pal Caro C.E. Koning Foppe Oldenburger James C.H. Wilde Jan A.J.M. Taminiau Huib N. Caron Elvira C. van Dalen | 2013 | European Journal of Cancer2013，，1： | 1 |
| 18 | Predictable performance in SMT processors显示文摘 | F Cazorla P Knijnenburg | 2006 | IEEE Transactions on Computers Computer Society Press July 20062006，55，7： | 1 |
| 19 | Artifacts of Markov blanket filtering based on discretized features in small sample size applications 显示文摘 | Knijnenburg T A | 2006 | Pattern Recognition Letters2006，27，： | 1 |
| 20 | Explaining the user experience of recommender systems显示文摘 | Bart Knijnenburg Martijn Willemsen Zeno Gantner Hakan Soncu Chris Newell | 2012 | User Modeling and User-Adapted Interaction2012，，4： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员