| Predicting academic performance by considering student heterogeneity S Helal, J Li, L Liu, E Ebrahimie, S Dawson, DJ Murray, Q Long Knowledge-Based Systems 161, 134-146, 2018 | 226 | 2018 |
| The androgen receptor is a tumor suppressor in estrogen receptor–positive breast cancer TE Hickey, LA Selth, KM Chia, G Laven-Law, HH Milioli, D Roden, ... Nature medicine 27 (2), 310-320, 2021 | 212 | 2021 |
| Using the zebrafish model for Alzheimer’s disease research M Newman, E Ebrahimie, M Lardelli Frontiers in genetics 5, 189, 2014 | 189 | 2014 |
| Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models M Ebrahimi, M Mohammadi-Dehcheshmeh, E Ebrahimie, KR Petrovski Computers in biology and medicine 114, 103456, 2019 | 167 | 2019 |
| Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle S Sharifi, A Pakdel, M Ebrahimi, JM Reecy, S Fazeli Farsani, E Ebrahimie PLoS one 13 (2), e0191227, 2018 | 121 | 2018 |
| MicroRNA-194 promotes prostate cancer metastasis by inhibiting SOCS2 R Das, PA Gregory, RC Fernandes, I Denis, Q Wang, SL Townley, ... Cancer research 77 (4), 1021-1034, 2017 | 121 | 2017 |
| DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins AA Jamali, R Ferdousi, S Razzaghi, J Li, R Safdari, E Ebrahimie Drug discovery today 21 (5), 718-724, 2016 | 107 | 2016 |
| A large-scale study of indicators of sub-clinical mastitis in dairy cattle by attribute weighting analysis of milk composition features: highlighting the predictive power of … E Ebrahimie, F Ebrahimi, M Ebrahimi, S Tomlinson, KR Petrovski Journal of dairy research 85 (2), 193-200, 2018 | 97 | 2018 |
| Determining the most important physiological and agronomic traits contributing to maize grain yield through machine learning algorithms: a new avenue in intelligent agriculture A Shekoofa, Y Emam, N Shekoufa, M Ebrahimi, E Ebrahimie PloS one 9 (5), e97288, 2014 | 92 | 2014 |
| Differential expression of seven conserved microRNAs in response to abiotic stress and their regulatory network in Helianthus annuus R Ebrahimi Khaksefidi, S Mirlohi, F Khalaji, Z Fakhari, B Shiran, H Fallahi, ... Frontiers in plant science 6, 741, 2015 | 89 | 2015 |
| The magnitude of androgen receptor positivity in breast cancer is critical for reliable prediction of disease outcome C Ricciardelli, T Bianco-Miotto, S Jindal, LM Butler, S Leung, CM McNeil, ... Clinical Cancer Research 24 (10), 2328-2341, 2018 | 88 | 2018 |
| Identifying key factors of student academic performance by subgroup discovery S Helal, J Li, L Liu, E Ebrahimie, S Dawson, DJ Murray International Journal of Data Science and Analytics 7, 227-245, 2019 | 87 | 2019 |
| Prediction of thermostability from amino acid attributes by combination of clustering with attribute weighting: a new vista in engineering enzymes M Ebrahimi, A Lakizadeh, P Agha-Golzadeh, E Ebrahimie, M Ebrahimi PloS one 6 (8), e23146, 2011 | 85 | 2011 |
| Underlying functional genomics of fat deposition in adipose tissue MR Bakhtiarizadeh, M Moradi-Shahrbabak, E Ebrahimie Gene 521 (1), 122-128, 2013 | 84 | 2013 |
| Integrative meta-analysis of transcriptomic responses to abiotic stress in cotton A Tahmasebi, E Ashrafi-Dehkordi, AG Shahriari, SM Mazloomi, ... Progress in biophysics and molecular biology 146, 112-122, 2019 | 80 | 2019 |
| Comparative GO: a web application for comparative gene ontology and gene ontology-based gene selection in bacteria M Fruzangohar, E Ebrahimie, AD Ogunniyi, LK Mahdi, JC Paton, ... PloS one 8 (3), e58759, 2013 | 73 | 2013 |
| The inhibitory effect of ginger extract on ovarian cancer cell line; application of systems biology R Pashaei-Asl, F Pashaei-Asl, PM Gharabaghi, K Khodadadi, M Ebrahimi, ... Advanced pharmaceutical bulletin 7 (2), 241, 2017 | 72 | 2017 |
| Hierarchical pattern recognition in milking parameters predicts mastitis prevalence E Ebrahimie, F Ebrahimi, M Ebrahimi, S Tomlinson, KR Petrovski Computers and electronics in agriculture 147, 6-11, 2018 | 71 | 2018 |
| De novo transcriptome assembly and comparative analysis of differentially expressed genes in Prunus dulcis Mill. in response to freezing stress S Mousavi, A Alisoltani, B Shiran, H Fallahi, E Ebrahimie, A Imani, ... PloS one 9 (8), e104541, 2014 | 69 | 2014 |
| A rapid and efficient method for regeneration of plantlets from embryo explants of cumin (Cuminum cyminum) E Ebrahimie, AA Habashi, B Ghareyazie, M Ghannadha, M Mohammadie Plant cell, tissue and organ culture 75, 19-25, 2003 | 67 | 2003 |
Manijeh Mohammadi-DehcheshmehUniversity of AdelaideVerified email at adelaide.edu.au
