| An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Genome biology 17, 1-19, 2016 | 412 | 2016 |
| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 351 | 2019 |
| The impact of incomplete knowledge on the evaluation of protein function prediction: a structured-output learning perspective Y Jiang, WT Clark, I Friedberg, P Radivojac Bioinformatics 30 (17), i609-i616, 2014 | 48 | 2014 |
| Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges R Daneshjou, Y Wang, Y Bromberg, S Bovo, PL Martelli, G Babbi, ... Human mutation 38 (9), 1182-1192, 2017 | 47 | 2017 |
| Assessment of patient clinical descriptions and pathogenic variants from gene panel sequences in the CAGI‐5 intellectual disability challenge M Carraro, AM Monzon, L Chiricosta, F Reggiani, MC Aspromonte, ... Human mutation 40 (9), 1330-1345, 2019 | 17 | 2019 |
| New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods BZ Kacsoh, S Barton, Y Jiang, N Zhou, SD Mooney, I Friedberg, ... G3: Genes, Genomes, Genetics 9 (1), 251-267, 2019 | 14 | 2019 |
| Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges G McInnes, R Daneshjou, P Katsonis, O Lichtarge, R Srinivasan, S Rana, ... Human mutation 40 (9), 1314-1320, 2019 | 12 | 2019 |
| CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases L Kasak, JM Hunter, R Udani, C Bakolitsa, Z Hu, AN Adhikari, G Babbi, ... Human Mutation 40 (9), 1373-1391, 2019 | 11 | 2019 |
| Enumerating consistent sub-graphs of directed acyclic graphs: an insight into biomedical ontologies Y Peng, Y Jiang, P Radivojac Bioinformatics 34 (13), i313-i322, 2018 | 11 | 2018 |
| A new class of metrics for learning on real-valued and structured data R Yang, Y Jiang, S Mathews, EA Housworth, MW Hahn, P Radivojac Data Mining and Knowledge Discovery 33, 995-1016, 2019 | 9* | 2019 |
| CE Koo da, D Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Penfold-Brown, D. Shasha, N. Youngs, R. Bonneau, A. Lin, SM Sahraeian, PL …, 2016 | 5 | 2016 |
| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. bioRxiv. 2019: 653105 N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... doi 10 (653105), 653105, 0 | 5 | |
| Prioritizing de novo autism risk variants with calibrated gene-and variant-scoring models Y Jiang, J Urresti, KA Pagel, AB Pramod, LM Iakoucheva, P Radivojac Human genetics, 1-19, 2022 | 2 | 2022 |
| Protein Function Prediction and Its Application to Prioritizing Disease-Associated Mutations Y Jiang Indiana University, 2020 | | 2020 |
| Expanding the Critical Assessment of Function Annotation with Experimental Data and Biocuration N Zhou, Y Jiang, T Bergquist, AW Crocker, KA Lewis, DA Hogan, ... Plant and Animal Genome XXVI Conference (January 13-17, 2018), 0 | | |
| Availability: This version is available at: http://porto. polito. it/2649752/since: September 2016 Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... | | |
Predrag RadivojacProfessor of Computer Science, Northeastern UniversityEmail verificata su northeastern.edu
