Year |
Citation |
Score |
2019 |
Climente-González H, Azencott CA, Kaski S, Yamada M. Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinformatics (Oxford, England). 35: i427-i435. PMID 31510671 DOI: 10.1093/Bioinformatics/Btz333 |
0.323 |
|
2019 |
Azencott CA. Machine learning and genomics: precision medicine versus patient privacy. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 376. PMID 30082298 DOI: 10.1098/Rsta.2017.0350 |
0.327 |
|
2018 |
Playe B, Azencott CA, Stoven V. Efficient multi-task chemogenomics for drug specificity prediction. Plos One. 13: e0204999. PMID 30286165 DOI: 10.1371/Journal.Pone.0204999 |
0.445 |
|
2015 |
Grimm DG, Azencott CA, Aicheler F, Gieraths U, MacArthur DG, Samocha KE, Cooper DN, Stenson PD, Daly MJ, Smoller JW, Duncan LE, Borgwardt KM. The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity. Human Mutation. 36: 513-23. PMID 25684150 DOI: 10.1002/Humu.22768 |
0.411 |
|
2011 |
Kayala MA, Azencott CA, Chen JH, Baldi P. Learning to predict chemical reactions. Journal of Chemical Information and Modeling. 51: 2209-22. PMID 21819139 DOI: 10.1021/Ci200207Y |
0.605 |
|
2011 |
Baldi P, Azencott C, Swamidass SJ. Bridging the gap between neural network and kernel methods: Applications to drug discovery Frontiers in Artificial Intelligence and Applications. 226: 3-13. DOI: 10.3233/978-1-60750-692-8-3 |
0.582 |
|
2010 |
Swamidass SJ, Azencott CA, Daily K, Baldi P. A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval. Bioinformatics (Oxford, England). 26: 1348-56. PMID 20378557 DOI: 10.1093/Bioinformatics/Btq140 |
0.628 |
|
2009 |
Swamidass SJ, Azencott CA, Lin TW, Gramajo H, Tsai SC, Baldi P. Influence relevance voting: an accurate and interpretable virtual high throughput screening method. Journal of Chemical Information and Modeling. 49: 756-66. PMID 19391629 DOI: 10.1021/Ci8004379 |
0.656 |
|
2007 |
Azencott CA, Ksikes A, Swamidass SJ, Chen JH, Ralaivola L, Baldi P. One- to four-dimensional kernels for virtual screening and the prediction of physical, chemical, and biological properties. Journal of Chemical Information and Modeling. 47: 965-74. PMID 17338509 DOI: 10.1021/Ci600397P |
0.66 |
|
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