Ehsaneddin Asgari
Ehsaneddin Asgari
Postdoctoral Researcher, University of California Berkeley/ Helmholtz Center for Infection Research
Verified email at - Homepage
Cited by
Cited by
Continuous distributed representation of biological sequences for deep proteomics and genomics
E Asgari, MRK Mofrad
PloS one 10 (11), e0141287, 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), 1-23, 2019
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
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
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), 1-16, 2019
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
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
Nonsymbolic Text Representation
H Schuetze, H Adel, E Asgari
arXiv preprint arXiv:1610.00479, 2016
Integration of scientific and social networks
M Neshati, D Hiemstra, E Asgari, H Beigy
World Wide Web 17 (5), 1051-1079, 2014
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
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
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
A Joint Classification Method to Integrate Scientific and Social Networks
M Neshati, E Asgari, D Hiemstra, H Beigy
Advances in Information Retrieval, 122-133, 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
DeepPrime2Sec: Deep Learning for Protein Secondary Structure Prediction from the Primary Sequences
E Asgari, N Poerner, A McHardy, M Mofrad
bioRxiv, 705426, 2019
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
Text Analysis and Automatic Triage of Posts in a Mental Health Forum
E Asgaria, S Nasiriany, M Mofrad
In Proceedings of the NAACL-HLT Workshop on Computational Linguistics and …, 2016
A New Approach for Scalable Analysis of Microbial Communities
E Asgari, K Garakani, MRK Mofrad
arXiv preprint arXiv:1512.00397, 2015
TripletProt: Deep Representation Learning of Proteins based on Siamese Networks
E Nourani, E Asgari, AC McHardy, MRK Mofrad
bioRxiv, 2020
Life Language Processing: Deep Learning-based Language-agnostic Processing of Proteomics, Genomics/Metagenomics, and Human Languages
E Asgari
UC Berkeley, 2019
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