| Continuous distributed representation of biological sequences for deep proteomics and genomics E Asgari, MRK Mofrad PloS one 10 (11), e0141287, 2015 | 835 | 2015 |
| 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 |
| Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics A Khaledi, A Weimann, M Schniederjans, E Asgari, TH Kuo, A Oliver, ... EMBO molecular medicine 12 (3), e10264, 2020 | 142 | 2020 |
| MicroPheno: Predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples E Asgari, K Garakani, AC McHardy, MRK Mofrad Bioinformatics 34 (13), i32-i42, 2018 | 82 | 2018 |
| Probabilistic variable-length segmentation of protein sequences for discriminative motif discovery (DiMotif) and sequence embedding (ProtVecX) E Asgari, AC McHardy, MRK Mofrad Scientific reports 9 (1), 3577, 2019 | 73 | 2019 |
| Past, present, future: a computational investigation of the typology of tense in 1000 languages E Asgari, H Schütze Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 57 | 2017 |
| Molecular insights into the mechanisms of SUN1 oligomerization in the nuclear envelope Z Jahed, D Fadavi, UT Vu, E Asgari, GWG Luxton, MRK Mofrad Biophysical journal 114 (5), 1190-1203, 2018 | 42 | 2018 |
| Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance E Asgari, MRK Mofrad In Proceedings of the NAACL-HLT Workshop on Multilingual and Cross-lingual …, 2016 | 33 | 2016 |
| DeepPrime2Sec: deep learning for protein secondary structure prediction from the primary sequences E Asgari, N Poerner, AC McHardy, MRK Mofrad BioRxiv, 705426, 2019 | 27 | 2019 |
| The Touch\'e23-ValueEval Dataset for Identifying Human Values behind Arguments N Mirzakhmedova, J Kiesel, M Alshomary, M Heinrich, N Handke, X Cai, ... arXiv preprint arXiv:2301.13771, 2023 | 25 | 2023 |
| EpitopeVec: linear epitope prediction using deep protein sequence embeddings A Bahai, E Asgari, MRK Mofrad, A Kloetgen, AC McHardy Bioinformatics 37 (23), 4517-4525, 2021 | 24 | 2021 |
| Integration of scientific and social networks M Neshati, D Hiemstra, E Asgari, H Beigy World wide web 17, 1051-1079, 2014 | 24 | 2014 |
| Nonsymbolic Text Representation H Schuetze, H Adel, E Asgari arXiv preprint arXiv:1610.00479, 2016 | 23 | 2016 |
| DiTaxa: nucleotide-pair encoding of 16S rRNA for host phenotype and biomarker detection E Asgari, PC Münch, TR Lesker, AC McHardy, MRK Mofrad Bioinformatics 35 (14), 2498-2500, 2019 | 18* | 2019 |
| Peptide microarrays coupled to machine learning reveal individual epitopes from human antibody responses with neutralizing capabilities against SARS-CoV-2 SK Hotop, S Reimering, A Shekhar, E Asgari, U Beutling, C Dahlke, ... Emerging microbes & infections 11 (1), 1037-1048, 2022 | 17 | 2022 |
| Linguistic Resources & Topic Models for the Analysis of Persian Poems E Asgari, JC Chappelier In Proceedings of the NAACL-HLT Workshop on Computational Linguistics for …, 2013 | 17 | 2013 |
| Confirming the themes and interpretive unity of Ghazal poetry using topic models E Asgari, M Ghassemi, MA Finlayson Neural Information Processing Systems (NIPS) Workshop for Topic Models, 2013 | 14 | 2013 |
| EmbLexChange at SemEval-2020 task 1: Unsupervised embedding-based detection of lexical semantic changes E Asgari, C Ringlstetter, H Schütze Proceedings of the Fourteenth Workshop on Semantic Evaluation, 201-207, 2020 | 13 | 2020 |
| TripletProt: deep representation learning of proteins based on siamese networks E Nourani, E Asgari, AC McHardy, MRK Mofrad IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 12 | 2021 |
| UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages E Asgari, F Braune, B Roth, C Ringlstetter, MRK Mofrad Proceedings of The 12th Language Resources and Evaluation Conference (LREC …, 2020 | 12 | 2020 |
Mohammad Reza Kaazempur MofradProfessor of Bioengineering and Mechanical Engineering, University of California BerkeleyDirección de correo verificada de berkeley.edu
