Publications
International Journals (ISI-indexed)
2024
Hoang Le, Van-Minh Nguyen, Quang-Huy Nguyen, Duc-Hau Le (2023) A biphasic Deep Semi-supervised framework for Subtype Classification and biomarker discovery, PLOS Computational Biology (under review)
Giang T.T. Nguyen, Hoa D. Vu, Khanh Nguyen-Trong, Tan Phan-Xuan, Duc-Hau Le (2023) Integrating multiple -omic data of cell lines for drug synergy prediction, Bioinformatics (under review).
2023
Hoa Thi Phuong Bui,Duong Huy Do,Ha Thi Thanh Ly,Kien Trung Tran,Huong Thi Thanh Le,Kien Trung Nguyen,Linh Thi Dieu Pham,Hau Duc Le,Vinh Sy Le,Arijit Mukhopadhyay ,Liem Thanh Nguyen (2023) De novo Copy Number variations in candidate genomic regions in patients of severe autism spectrum disorder in Vietnam, PLOS ONE, 19(3):e0290936
Hoang Le, Van-Minh Nguyen, Quang-Huy Nguyen, Duc-Hau Le (2023) A biphasic Deep Semi-supervised framework for Subtype Classification and biomarker discovery, PLOS Computational Biology (under review)
Giang T.T. Nguyen, Hoa D. Vu, Khanh Nguyen-Trong, Tan Phan-Xuan, Duc-Hau Le (2023) Integrating multiple -omic data of cell lines for drug synergy prediction, Bioinformatics (under review).
2022
Quang-Huy Nguyen, Duc-Hau Le (2022) oCEM: Automatic detection and analysis of overlapping co-expressed gene modules, BMC Genomics, 2022. 23(1):39
Quang-Huy Nguyen, Tin Nguyen, Duc-Hau Le (2022) DrGA: cancer driver gene analysis in an automatic manner, BMC Bioinformatics, 2022;23(1):86.
Quang-Huy Nguyen, Tin Nguyen, Duc-Hau Le (2022) Identification and validation of a novel three hub long noncoding RNAs with m6A modification signature in low-grade gliomas, Frontiers in Molecular Biosciences, 2022 Vol. 9
Duc-Hau Le, Quang-Huy Nguyen, Lan T.M. Dao (2022) Computational and Experimental Approaches in Exploring the Role of Genetics and Genomics in Multifactorial Diseases, Frontiers in Genetics, 2022 Vol. 13 .
Hien T.T. Le, Chien Van Nguyen, Duc-Hau Le (2022) Numerical Study Of Sediment Scour At Meander Flume Outlet Of Boxed Culvert Diversion Work, PLOS ONE, 2022;17(9):e0275347.
2021
Tuan Nguyen, Giang T.T. Nguyen, Thin Nguyen and Duc-Hau Le (2021) Graph convolutional networks for drug response prediction, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 19 Issue 1 Pages 146-154, DOI: 10.1109/TCBB.2021.3060430
Giang T.T. Nguyen, Hoa D. Vu and Duc-Hau Le (2021) Integrating molecular graph data of drugs and multiple -omics data of cell lines for drug response prediction, IEEE/ACM Transactions on Computational Biology and Bioinformatics doi: 10.1109/TCBB.2021.3096960
Duc-Hau Le (2021) A network-based method for predicting disease-associated enhancers, PLOS ONE, 16(12): e0260432. https://doi.org/10.1371/journal.pone.0260432
Yen T.H. Nguyen, Quang-Huy Nguyen, Tin Nguyen, Duc-Hau Le (2021) Re-identification of patient subgroups in Uveal Melanoma, Frontiers in Oncology, 11:731548
2020
Le Duc-Hau and Trang T.H. Tran (2020) RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network, BMC Bioinformatics, 2020. 21(1): p. 244.
Le Duc-Hau (2020) Machine learning-based approaches for disease gene prediction, Briefings in Functional Genomics (Accepted)
Tran Ngoc Nguyen, Ha Quy Nguyen, Duc-Hau Le (2020) Unveiling Prognostics Biomarkers of Tyrosine Metabolism Reprogramming in Liver Cancer by Cross-platform Gene Expression Analyses, PLOS ONE, 2020. 15(6): p. e0229276.
Le Duc-Hau (2020) UFO: a tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization, PLOS ONE, 2020. 15(7): p. e0235670.
Quang-Huy Nguyen, Hung Nguyen, Tin Nguyen, Le Duc-Hau (2020) Multi-omics analysis detects novel prognostic subgroups of breast cancer, Frontiers in Genetics, 11(1265).
Quang-Huy Nguyen, Le Duc-Hau (2020) Improving existing analysis pipeline to identify and analyze cancer driver genes using multi-omics data, Scientific Reports, 10(1):20521.
2018
Le Duc-Hau and Lan T M Dao (2018) Annotating diseases using human phenotype ontology improves prediction of disease-associated long non-coding RNAs, Journal of Molecular Biology, 430(15):2219-2230 [SCI]
Le Duc-Hau and Ngoc-Doanh Nguyen (2018) Drug repositioning by integrating known disease-gene and drug-target associations in a semi-supervised learning model, Acta Biotheoretica, 66(4):315-331. [SCI]
Satya P Singh , Shabana Urooj, Dinh-Toi Chu, Le Duc-Hau, Karan Singh (2018) Early Diagnosis of Alzheimer's Disease using Polar Harmonic Transforms and Self-adaptive Differential Evolution Wavelet Neural Network, Computer Methods and Programs in Biomedicine, (Accepted) [SCI]
Le Duc-Hau (2018) Drug response prediction by globally capturing drug and cell line information in a heterogeneous network, Journal of Molecular Biology, 430(18, Part A):2993-3004 [SCI]
2017
Le Duc-Hau and Van-Huy Pham (2017) HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network, BMC Systems Biology, 11, 61 [SCI]
Le Duc-Hau, Lieven Verbeke, Le Hoang Son, Chu Dinh Toi and Van-Huy Pham (2017) Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs, BMC Bioinformatics, 18(1):479 [SCI]
Chu Dinh Toi, Yang Tao, Le Hoang Son, Le Duc-Hau (2017) Cell source, differentiation, functional stimulation and potential application of human thermogenic adipocytes in vitro, Journal of Physiology and Biochemistry, 73(3):315-321 [SCIE]
2016
Le Duc-Hau and Ly Le (2016) Systems pharmacology: A unified framework for prediction of drug-target interactions, Current Pharmaceutical Design, 22(23) 3569 - 3575 [SCI]
2015
Le Duc-Hau (2015) Network-based ranking methods for prediction of novel disease associated microRNAs, Computational Biology and Chemistry, 58, 139-148 [SCI]
Le Duc-Hau (2015) A novel method for identifying disease associated protein complexes based on functional similarity protein complex networks, Algorithms for Molecular Biology, 10(1):14 [SCIE]
2014
Trinh Hung-Cuong, Le Duc-Hau and Kwon Yung-Keun. (2014) PANET: A GPU-based tool for fast parallel analysis of robustness dynamics and feed-forward/feedback loop structures in large-scale biological networks, PLoS ONE 2014, 9:e103010 [SCIE]
2013
Le Duc-Hau and Kwon Yung-Keun. (2013) A coherent feedforward loop design principle to sustain robustness of biological networks, Bioinformatics, 29, 630-637, [SCI]
Le Duc-Hau and Kwon Yung-Keun. (2013) Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization, Computational Biology and Chemistry, 44, 1-8., [SCI]
2012
Le Duc-Hau and Kwon Yung-Keun. (2012) GPEC: a Cytoscape plugin for random walk-based gene prioritization and biomedical evidence collection, Computational Biology and Chemistry, 37, 17-23, [SCI]
2011
Le Duc-Hau and Kwon Yung-Keun. (2011) The effects of feedback loops on disease comorbidity in human signaling networks, Bioinformatics, 27, 1113-1120. [SCI]
Le Duc-Hau and Kwon Yung-Keun. (2011) NetDS: a Cytoscape plugin to analyze the robustness of dynamics and feedforward/feedback loop structures of biological networks, Bioinformatics, 27, 2767-2768. [SCI]
International Journals (Non-ISI-indexed)
2021
Quang-Huy Nguyen, Duc-Hau Le (2021) Similarity calculation, enrichment analysis, and ontology visualization of biomedical ontologies using UFO, Current Protocols (Accepted) .
2020
Tri-Cong Pham, Chi-Mai Luong, Antoine Doucet, Van-Dung Hoang, Diem-Phuc Tran, Le Duc-Hau (2020) Meta-analysis of computational methods for breast cancer classification. International Journal of Intelligent Information and Database Systems 2020;13(1):89-111. (SCOPUS).
2018
Le Duc-Hau, Trang T.H. Tran (2018) autoHGPEC: Automated prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on a heterogeneous network, F1000Research, (Accepted) (SCOPUS).
Dinh-Toi Chu, Nguyen Thi Minh Nguyet, Thien Chu Dinh, Nguyen Vu Thai Lien, Khanh-Hoang Nguyen, Vo Truong Nhu Ngoc, Yang Tao, Le Hoang Son, Duc-Hau Le, Vu Bich Nga, Adam Jurgonsk, Quoc-Hung Tran, Pham Van Tu, Van-Huy Pham (2018) An update on physical health and economic consequences of overweight and obesity, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 12(6):1095-1100 (SCOPUS).
Dinh-Toi Chu, Nguyen Thi Minh Nguyet, Vu Thi Nga, Nguyen Vu Thai Lien, Duc Duy Vo, Nguyen Lien, Vo Truong Nhuc Ngo, Le Hoang Son, Duc Hau Le, Vu Bich Nga, Pham Van Tu, Ta Van To, Luu Song Ha, Yang Tao, Van Huy Pham (2019) An update on obesity: Mental consequences and psychological interventions, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 13(1):155-160 (SCOPUS).
2017
Do Minh Huong, Le Thi Thu Hang, Vo Truong Nhu Ngoc, Le Quynh Anh, Le Hoang Son, Dinh-Toi Chu, Le Duc-Hau (2017) Prevalence of early childhood caries and its related risk factors in preschoolers: Result from a cross-sectional study in Vietnam, Pediatric Dental Journal, 27(2), 79-84 (SCOPUS).
2016
Le Duc-Hau and Dang Vu-Tung (2016) Ontology-based disease similarity network for disease gene prediction, Vietnam Journal of Computer Science, 3(3):197-205. (SCOPUS).
National Journals
2022
Tuan Le, Le Duc-Hau (2022) Comparing the performance of matrix completion methods for predicting the effects of drug combinations. Tạp chí Công thương điện tử (http://thuvienlamdong.org.vn:81/handle/DL_134679/67596)
2020
Hung T.T Nguyen, Le Duc-Hau (2020) Development and Implementation of Polygenic Risk Score in Vietnamese Population. ICT Research (Accepted) https://doi.org/10.32913/mic-ict-research.v2019.n2.893.
Le Duc-Hau (2020) Computational personalized Medicine in cancer research in the –omics era. ICT Research (Accepted).
2019
Le Duc-Hau (2019) A general computational framework for prediction of disease-associated non-coding RNAs. VNU Journal of Science: Computer Science and Communication Engineering, 35(2).
2017
Vũ Thị Lưu, Trần Thị Thu Huyền, Nguyễn Văn Hoàng, Nguyễn Thị Huyền, Lê Đức Hậu (2017) Nghiên cứu phương pháp dựa trên mạng sinh học để dự đoán các gene gây bệnh, Vietnam J. Agri. Sci. 2017, Vol. 15, No. 1: 73-84 (Tạp chí Khoa học Nông nghiệp Việt Nam 2017, tập 15, số 1: 73-84)
2016
Đặng Vũ Tùng, Nguyễn Đại Phong, Lê Đức Hậu, Từ Minh Phương (2016) Một phương pháp phân hạng gen gây bệnh mới dựa trên tổng xác suất liên kết trong mạng tương tác protein (A novel method based on significant paths in protein interaction network for disease candidate gene prioritization),Các công trình nghiên cứu, phát triển và ứng dụng CNTT-TT, Tập V-2, Số 16 (36), tháng 12/2016
2015
Đặng Vũ Tùng, Dương Anh Trà, Lê Đức Hậu, Từ Minh Phương (2015) Phân hạng gen gây bệnh sử dụng học tăng cường kết hợp với xác suất tiền nghiệm (Disease Gene Prioritization using Reinforcement Learning with Priors),Các công trình nghiên cứu, phát triển và ứng dụng CNTT-TT, Tập V-1, Số 13 (33), tháng 6/2015
International Conferences
2023
Giang T.T. Nguyen, Hoa D. Vu, Khanh Nguyen-Trong, Duc-Hau Le A hybrid model integrating multi-omic and topological information of PPI network for synergism prediction. In: 2023 RIVF International Conference on Computing and Communication Technologies (RIVF): 23-25 Dec. 2023 2023. 83-88 (RIVF 2023).
2022
Tuan Le, Le Duc-Hau (2022) New perspective when measuring performance of Multi-task regression learning in drug response prediction. International Conference on Discrete Mathematics and Computer Science: 1st – 2nd Dec 2022 in Dalat. (https://across-lab.org/international-conference-on-discrete-mathematics-and-computer-science-1st-2nd-dec-2022-in-dalat-vietnam/).
2021
Cong-Doan Truong, Duy- Hieu Vu, Duc-Hau Le, and Hung-Cuong Trinh Research of large-scaled signalling networks in terms of their network features and sturdiness in case of mutations. ICISN 2021, Pages: 437-445, 10.1007/978-981-16-2094-2_53
2020
Giang Nguyen, Hoang Le, Diep Quynh Nguyen, Tung Nguyen, Hien Dang and, Le Duc-Hau (2020) An investigation of cancer cell line-based drug response prediction methods on patient data. 306-311, KSE 2020
Hung Nguyen, Bang Tran, Duc Tran, Quang-Huy Nguyen, Duc-Hau Le and Tin Nguyen (2020) Disease subtyping using community detection from consensus networks, 318-323, KSE 2020
2018
Le Duc-Hau and Doanh Nguyen-Ngoc (2018) Multitask regression learning for prediction of response against a panel of anti-cancer drugs in personalized medicine. 1-5, MAPR 2018
Phuong H. Nguyen and Le Duc-Hau (2018) Drug Repositioning by Bipartite Local Models In: 2018 5th NAFOSTED Conference on Information and Computer Science (NICS): 23-24 Nov. 2018 2018. 30-34.
Giang T.T. Nguyen and Le Duc-Hau (2018) A matrix completion method for drug response prediction in personalized medicine In: Proceedings of the Ninth International Symposium on Information and Communication Technology; Danang City, Viet Nam. 3287974: ACM 2018: 410-415
2017
Pham Van-Huy, Le Duc-Hau (2017) A two-stage detection approach for car counting in day- and night-time, 159-171, INDIA 2017 (ISI-indexed)
Le Duc-Hau, Pham Van-Huy and Thuy Thi Nguyen (2017) An ensemble learning-based method for prediction of novel dis-ease-microRNA associations,7-12, KSE 2017.
Le Duc-Hau (2017) Random walk with restart: A powerful network propagation algorithm in Bioinformatics field, 242-247, NICS 2017
Le Duc-Hau (2017) Meta-analysis of whole-transcriptome data for prediction of novel genes associated with autism spectrum disorder, 56-61, CSBio 2017.
2016
Pham Van-Huy, Le Duc-Hau (2016) A two-stage approach for front-view vehicle detection and counting at nighttime. In: Proceedings of the 4th International Conference on Intelligent and Automation Systems (ICIAS 2016); NhaTrang City, Viet Nam. MATEC Web of Conferences; 54: 08001.
Dang Vu-Tung, Duong Anh-Tra, Le Duc-Hau and Tu Minh-Phuong (2016) Disease gene prioritization using reinforcement learning with priors, ATC 2016 (submitted).
Le Duc-Hau, Pham Ba-Su, Dao Anh-Minh (2016) Assessing human disease phenotype similarity based on ontology, RIVF 2016, 211-216 (ISI-indexed)
Le Duc-Hau, Nguyen Dai-Phong, Dao Anh-Minh (2016) Significant path selection improves the prediction of novel drug-target interactions, SoICT 2016, 30-35.
2015
Le Duc-Hau: Disease phenotype similarity improves the prediction of novel disease-associated microRNAs. The Second NAFOSTED Conference on Information and Computer Science (NICS) 2015, 1(1):76-81.
Le Duc-Hau: An approach based on Boolean dynamics of biological networks for disease candidate gene prioritization. Bioinformatics & Genomic Medicine 2015 (http://www.vjsonline.org/conference-proceedings/approach-based-boolean-dynamics-biological-networks-disease-candidate-gene).
Le Duc-Hau, Nguyen Manh-Hien: Towards more realistic machine learning techniques for prediction of disease-associated genes. SoICT 2015, 116-120.
Le Duc-Hau, Nguyen Xuan Hoai and Kwon Yung-Keun: A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction. In, Knowledge and Systems Engineering (KSE). Springer, 577-588.
2014
Le Duc-Hau, Kathleen Marchal: Integration of miRNA-miRNA networks improves the prediction of novel disease-associated miRNAs. The First NAFOSTED Conference on Information and Computer Science (NICS) 2014, 1(1):438-448.
2013
Le Duc-Hau, Uy NQ, Dung PQ, Binh HTT, Kwon Y-K: Towards the Identification of Disease Associated Protein Complexes. Procedia Computer Science 2013, 23(0):15-23.
National Conferences
2014
Nguyen Xuan Hung, Le Duc-Hau (2014) Applying graph theory on social network analysis, Annual conference of Water Resources University - 2014.
2005
Nguyễn Viết Thi, Bùi Đức Long, Lê Đức Hậu (2005) Prediction and Warning of flow in drought reason in South-Central and Tay Nguyen areas in Vietnam (In Vietnamese: Dự báo và cảnh báo dòng chảy mùa cạn khu vực Nam Trung Bộ và Tây Nguyên), Tuyển tập báo cáo Hội nghị khoa học Công nghệ dự báo và phục vụ dự báo khí tượng thủy văn, Lần thứ VI (2001-2005), Tập 2 - Dự báo thủy văn, 167-175. [link]
2016
Nguyễn Đại Phong, Đặng Vũ Tùng, Lê Đức Hậu, Từ Minh Phương (2016) Một phương pháp cải tiến cho bài toán xác định các gen liên quan đến bệnh, FAIR'9.
Poster & Abstract
2022
Tuan Le, Le Duc-Hau: Multi-task Learning for Predicting the Volatility of Vietnam’s Stock Market. VANJ 2022 (https://scholar.dlu.edu.vn/bitstream/123456789/2730/2/VANJ2022_ProgramBook_1126-2.pdf)
2020
Le Duc-Hau, Trang T.H. Tran, Phuong H. Nguyen: Identifying potential drugs for COVID-19 using a drug repositioning tool on heterogeneous network of drugs and diseases. ISMB 2020
2019
Le Duc-Hau, Trang T.H.Tran : RWRMTN: a tool for predicting disease-associated microRNAs on a microRNA-target gene network. ISMB-ECCB 2019
2017
Le Duc-Hau: HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network. ISMB/ECCB 2017. (Poster)
Le Duc-Hau: Computational Methods for Personalized Medicine in Cancer Research. The 1st Vietnam Multidisciplinary Oncology Conference (VMOC 2017) (http://vietnamoncology.org). (Poster)
Le Duc-Hau: Computational Methods for Personalized Medicine in Cancer Research. The 3rd international conference on Innovations in Cancer Research and Regenerative Medicine (CRRM 2017) (http://www.crrmconference.com). (Abstract & Poster) (http://www.bmrat.org/index.php/BMRAT/article/view/282)
Le Duc-Hau: Drug repositioning by integrating known disease-gene and drug-target associations. The 3rd international conference on Innovations in Cancer Research and Regenerative Medicine (CRRM 2017) (http://www.crrmconference.com). (Abstract & Poster) (http://www.bmrat.org/index.php/BMRAT/article/view/281)
2016
Le Duc-Hau: Problems and Computational Methods in Personalized Medicine. NAFOSTED - NHMRC Networking Symposium for Medical and Health Researchers (Hội thảo NAFOSTED - NHMRC kết nối các nhà khoa học trong lĩnh vực Y sinh), 2016 (http://www.nafosted.gov.vn/vi/news/Tin-hoat-dong-cua-Quy/Hoi-thao-NAFOSTED-NHMRC-ket-noi-cac-nha-khoa-hoc-trong-linh-vuc-Y-sinh-2016-254/). Poster: https://drive.google.com/file/d/0B646qlDUcgjjOWVIYlBFTVZWX0k/view?usp=sharing
Invited Talk, Keynote
2019
An introduction to the project of building a database of genomic variants for Vietnamese population. THE 8th SEAPHARM MEETING & GENOMIC MEDICINE CONFERENCE (GMC) 2019. September 9th-10th, 2019, YARSI University, Jakarta, Indonesia
Whole-genome sequencing in pharmacogenomics from 1,000 Random healthy Vietnamese. Precision Medicine Workshop. September 4, 2019 at Double Tree Hotel by Hilton Sukhumvit-Bangkok
2018
Correct understanding about Personalized Medicine & How to get it done, Med-Aid Co., 2018.
2017
Bioinformatics approaches to explore underlying mechanisms of diseases. 6th SEAPharm Meeting and the Genomic Medicine 2017.
Systems Medicine. Paris-Sud University, France.
2016
Computational Methods for Personalized Medicine. Institute of BioTechology, Vietnam Academy of Science and Technology (IGR-VAST)
Computational Methods for Personalized Medicine. Vietnamese-French Joint Conference on Applications of Mathematics to Ecology, Bio-economics, Epidemiology, and Healthcare (Hội nghị Việt Pháp về Ứng dụng của Toán học trong Sinh thái, Kinh tế Sinh học, Dịch tễ và chăm sóc sức khỏe) (http://viasm.edu.vn/hdkh/vfam2016?userkey=chuong-trinh), VIASM Slide: https://drive.google.com/file/d/0B646qlDUcgjjNUMyVVJ4WjFZYlE/view?usp=sharing
Computational Methods for Prediction of disease-associated cellular components. Institute of Genome Research, Vietnam Academy of Science and Technology (IGR-VAST)
Computational Methods for Prediction of disease-associated cellular components. Faculty of Electrics and Electronics, Thai Nguyen University of Technology (FEE-THUT)
Computational Methods for Prediction of disease-associated cellular components. Gent University, Belgium (UGent)
2015
Towards more realistic machine learning techniques for prediction of disease-associated genes. HANU SEMINAR SERIES ON INTELLIGENT SYSTEMS, Hanoi University
Boolean Network Modeling in Biological Systems. The PICS IMEA Mini-Workshop on Multi-Paradigm Modeling and Simulation of Complex Systems, VIASM
2014
System Pharmacology. HANU SEMINAR SERIES ON INTELLIGENT SYSTEMS, Hanoi University
Some research directions in Bioinformatics. School of Information and Communication Technology, Hanoi University of Science and Technology (SoICT-HUST)
Computational Approaches for Disease Gene Prediction/Prioritization. School of Information and Communication Technology, Hanoi University of Science and Technology (SoICT-HUST)
Network-based approaches for Identification of important components and Detection of design principle motifs. School of Information and Communication Technology, Hanoi University of Science and Technology (SoICT-HUST)
A tool for gene and phenotype prioritization and evidence collection based on a random walk on heterogeneous network. School of Information and Communication Technology, Hanoi University of Science and Technology (SoICT-HUST)
2013
Towards the identification of disease-associated protein complexes. HANU SEMINAR SERIES ON INTELLIGENT SYSTEMS, Hanoi University
Machine Learning-based Approaches for Disease Candidate Gene Prediction/Prioritization. HANU SEMINAR SERIES ON INTELLIGENT SYSTEMS, Hanoi University
2012
Network-based approach to disease comorbidity and gene prioritization. HANU SEMINAR SERIES ON INTELLIGENT SYSTEMS, Hanoi University
Network-based approach to disease comorbidity and gene prioritization. Department of Immunology and Molecular Biology, National Institute of Hygiene and Epidemiology (NIHE)
A coherent feed-forward loop design principle to sustain robustness of biological networks. HANU SEMINAR SERIES ON INTELLIGENT SYSTEMS, Hanoi University