| Imputation of single‐cell gene expression with an autoencoder neural network MB Badsha, R Li, B Liu, YI Li, M Xian, NE Banovich, A Qiuyan Fu Quantitative Biology 8 (1), 78-94, 2020 | 63 | 2020 |
| Learning causal biological networks with the principle of Mendelian randomization MB Badsha, AQ Fu Frontiers in genetics 10, 454043, 2019 | 50 | 2019 |
| Bacterial populations in international artisanal kefirs A Sindi, MB Badsha, G Ünlü Microorganisms 8 (9), 1318, 2020 | 29 | 2020 |
| Robust complementary hierarchical clustering for gene expression data analysis by β-divergence MB Badsha, MNH Mollah, N Jahan, H Kurata Journal of bioscience and bioengineering 116 (3), 397-407, 2013 | 22 | 2013 |
| Antimicrobial activity of six international Artisanal Kefirs against Bacillus cereus, Listeria monocytogenes, Salmonella enterica serovar Enteritidis, and Staphylococcus aureus A Sindi, MB Badsha, B Nielsen, G Ünlü Microorganisms 8 (6), 849, 2020 | 17 | 2020 |
| Metabolic analysis of antibody producing Chinese hamster ovary cell culture under different stresses conditions MB Badsha, H Kurata, M Onitsuka, T Oga, T Omasa Journal of bioscience and bioengineering 122 (1), 117-124, 2016 | 12 | 2016 |
| Complementary elementary modes for fast and efficient analysis of metabolic networks MB Badsha, R Tsuboi, H Kurata Biochemical engineering journal 90, 121-130, 2014 | 8 | 2014 |
| MRPC: An R package for inference of causal graphs MB Badsha, EA Martin, AQ Fu Frontiers in Genetics 12, 651812, 2021 | 5 | 2021 |
| Performance of a validated spontaneous preterm delivery predictor in South Asian and Sub-Saharan African women: a nested case control study R Khanam, TC Fleischer, NS Boghossian, I Nisar, U Dhingra, S Rahman, ... The Journal of Maternal-Fetal & Neonatal Medicine 35 (25), 8878-8886, 2022 | 4 | 2022 |
| Advancing herbal medicine through metabolic pathway analysis in plants and animals for routine pharmacological assessments MS Khan, CI Cazzonelli, H Kurata, CG Li, MB Badsha, G Muench, ... Advances in Integrative Medicine, S106-S107, 2019 | 2 | 2019 |
| MRPC: An R package for accurate inference of causal graphs MB Badsha, EA Martin, AQ Fu arXiv preprint arXiv:1806.01899, 2018 | 2 | 2018 |
| Complementary elementary mode analysis for large-scale metabolic networks MB Badsha, R Tsuboi, H Kurata IPSJ SIG technical report, 2013 | 2 | 2013 |
| Robust Hierarchical Co-clustering to Explore Toxicogenomic Biomarkers and Their Regulatory Doses of Chemical Compounds MN Hasan, MB Badsha, MNH Mollah bioRxiv, 2020.05. 13.094946, 2020 | 1 | 2020 |
| Metabolic Engineering for Systematic Organization and Analysis of Complex Metabolic Networks MB Badsha, N Jahan, MNH Mollah, H Kurata Proceedings of International Conference on Statistical Data Mining for …, 2012 | 1 | 2012 |
| Clinical validation of novel second-trimester preterm preeclampsia risk predictors combining clinical variables and serum protein biomarkers LC Laurent, GR Saade, GR Markenson, KD Heyborne, CN Schoen, ... medRxiv, 2022.12. 21.22282936, 2022 | | 2022 |
| Package ‘MRPC’ MB Badsha, EA Martin, AQ Fu, MA Fu, T LazyData | | 2022 |
| Types of cis-and trans-gene regulation of expression quantitative trait loci across human tissues J Kvamme, MB Badsha, EA Martin, J Wu, M Megheib, X Wang, AQ Fu bioRxiv, 2022.01. 24.477617, 2022 | | 2022 |
| Learning causal biological networks with generalized Mendelian randomization MB Badsha, AQ Fu bioRxiv, 171348, 2017 | | 2017 |
| Development of Pathway-based Method for Analysis of Metabolic Network MB Badsha | | 2016 |
| 1P-242 抗体産生を向上させるための CHO 細胞代謝の数学モデリング (生体情報工学, バイオインフォマティクス, 一般講演) バッチャ,モハメド,杉本,友里恵,倉田,博之 日本生物工学会大会講演要旨集 67, 149, 2015 | | 2015 |
