Gene regulatory network inference: Data integration in dynamic models—A review

Cytoscape: A software Environment for integrated models of biomolecular interaction networks

Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888

The Elements of Statistical Learning

Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162

System Identification: Theory for the User

Lennart Ljung, A. (1987) · Cited by 17,690

Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans

Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429

System identification—Theory for the user

Sinha, N. K. (1989) · Automatica · doi:10.1016/0005-1098(89)90019-8 · Cited by 9,310

The Large-Scale Organization of Metabolic Networks

Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35036627 · Cited by 4,972

Metabolic stability and epigenesis in randomly constructed genetic nets

Kauffman, S. A. (1969) · Journal of Theoretical Biology · doi:10.1016/0022-5193(69)90015-0 · Cited by 4,871

Using Bayesian Networks to Analyze Expression Data

Friedman, N., Michal Linial, B., Nachman, I., & Pe’er, D. (2000) · Journal of Computational Biology · doi:10.1089/106652700750050961 · Cited by 3,248

Network motifs in the transcriptional regulation network of Escherichia coli

Shen-Orr, S. S., Milo, R., Mangan, S., & Alon, U. S. (2002) · Nature Genetics · doi:10.1038/ng881 · Cited by 2,970

Transcriptional Regulatory Networks in Saccharomyces cerevisiae

Lee, T. I., Rinaldi, N. J., Robert, F., Odom, D. T., Bar-Joseph, Z., Gerber, G. K., Hannett, N. M., Harbison, C. T., Thompson, C. M., Simon, I., et al. (2002) · Science · doi:10.1126/science.1075090 · Cited by 2,956

An Extended Constrained Total Least-Squares Method for the Identification of Genetic Networks from Noisy Measurements

Guner, U., Jang, H., Realff, M. J., & Lee, J. H. (2015) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.5b01418 · Cited by 1

Improving GRN re‐construction by mining hidden regulatory signals

Shi, M., Shen, W., Chong, Y., & Wang, H. (2017) · IET Systems Biology · doi:10.1049/iet-syb.2017.0013 · Cited by 1

Inference of Gene Regulatory Network Through Adaptive Dynamic Bayesian Network Modeling

Wang, Y., Berceli, S. A., Garbey, M., & Wu, R. (2019) · ICSA book series in statistics · doi:10.1007/978-3-030-15310-6_5 · Cited by 1

Classical and Probabilistic Information Retrieval Techniques: An Audit

Abbas, Q. (2021) · Lahore Garrison University Research Journal of Computer Science and Information Technology · doi:10.54692/lgurjcsit.2021.0503221 · Cited by 1

Identifying large-scale interaction atlases using probabilistic graphs and external knowledge

Chanumolu, S. K., & Otu, H. H. (2022) · Journal of Clinical and Translational Science · doi:10.1017/cts.2022.18 · Cited by 1

Inference of Gene Regulatory Networks by Topological Prior Information and Data Integration

Martins, D., Lopes, F. M., & Ray, S. S. (2019) · IGI Global eBooks · doi:10.4018/978-1-5225-8903-7.ch010 · Cited by 1

The Application of Databases and Bioinformatics for the Genome Editing of Crops

Ahmad, H. M., Ijaz, M., Azeem, F., Ali, M. A., Awan, S. I., Aziz, O., Abdullah, M., & Mahmood-ur-Rahman (2022) · Springer eBooks · doi:10.1007/978-3-030-96925-7_7 · Cited by 1

Gene regulatory network modelling with evolutionary algorithms -an integrative approach

Sîrbu, A. (2011) · Arrow@dit (Dublin Institute of Technology) · Cited by 1

Genes and Cell Type Specification in Cerebellar Development

Yeung, J., Larouche, M., Ramirez, M., Robert, R., & Goldowitz, D. (2021) · Springer eBooks · doi:10.1007/978-3-030-23810-0_15 · Cited by 2

Inferência de redes de regulação gênica utilizando o paradigma de crescimento de sementes

Higa, C. H. A. (2012) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.45.2012.tde-06092012-144108 · Cited by 1

Control Engineering Approaches to Reverse Engineering Biomolecular Networks

Montefusco, F., Cosentino, C., & Bates, D. G. (2011) · doi:10.1002/9781119970606.ch5 · Cited by 1

LSBN: A Large-Scale Bayesian Structure Learning Framework for Model AveragingPreprint

Lu, Y., Wang, M., Li, M., Zhu, Q., & Yuan, B. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1210.5135 · Cited by 1

Dynamical networks reconstructed from time seriesPreprint

Levnajić, Z. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1209.0219 · Cited by 1

Reverse Engineering of Biological Systems

Liu, L. (2014) · University Library - University of Saskatchewan (University of Saskatchewan) · Cited by 1

Expressão temporal dos genes do nucleopoliedrovírus Anticarsia gemmatalis e sua influência sobre a célula.

Oliveira, J. (2010) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.87.2010.tde-22122010-134448 · Cited by 1

Exploring the Boundaries of Gene Regulatory Network Inference

Tjärnberg, A. (2015) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 1

Mapping a Regulatory Network Between Organisms

Sharma, R., Evans, P., & Bhavsar, V. C. (2010) · Cited by 1

Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity

Uslan, V. (2015) · DMU Open Research Archive (De Montfort University) · Cited by 1

Moving Towards Predictive Toxicology - A Systems Biology Approach

Antczak, P. (2016) · University of Birmingham Institutional Research Archive (University of Birmingham) · doi:10.17638/03000035 · Cited by 1

Techniques of Transcriptomic and Proteomic Data IntegrationPreprint

Patil, J., Len, L., Bharat, A., & Li, X. (2020) · Preprints.org · doi:10.20944/preprints202011.0323.v1 · Cited by 1

Gene Regulatory Network Inference Using Machine Learning Techniques

Wonkap, S. K. (2020) · Spectrum Research Repository (Concordia University) · Cited by 1

Network Biology for Biomarker Discovery and Therapy in Cancer

Das, A. B. (2022) · Wiley eBooks · doi:10.1002/9781119807704.ch8 · Cited by 1

Quantum gene regulatory networksPreprint

Cai, J. J., & Roman-Vicharra, C. (2022) · Research Square · doi:10.21203/rs.3.rs-1785614/v1 · Cited by 1

A Variational Inference Approach to Single-Cell Gene Regulatory Network Inference using Probabilistic Matrix FactorizationPreprint

Mahmood, O., Gibbs, C. S., Bonneau, R., & Cho, K. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.09.507305 · Cited by 1

Understanding Microbial Ecology through Gene Regulatory NetworksPreprint

Yetgin, A. (2023) · doi:10.22541/au.168231963.36563020/v1

Modélisation stochastique de l'expression des gènes et inférence de réseaux de régulation

Herbach, U. (2018) · theses.fr (ABES) · doi:10.70675/891893e9z94a8z4733z97dfz7e3508b89aaa · Cited by 3

Extending Partially Known Networks

Tavakkolkhah, P., & Küffner, R. (2013) · Springer eBooks · doi:10.1007/978-3-642-45161-4_6

Information Propagation in the Long-Term Behavior of Gene Regulatory Networks

Ribeiro, A. S., & Lloyd‐Price, J. (2011) · Intelligent systems reference library · doi:10.1007/978-3-642-19621-8_9

Dinâmica da Fermentação Alcóolica: Aplicação de Redes Booleanas na Dinâmica de Expressão Gênica em Linhagens de Saccharomyces Cerevisiae durante o Processo Fermentativo

Noronha, M. F. (2012) · doi:10.11606/d.95.2012.tde-29112012-144348

Modeling and inference of genetic interactions

Pal, R. (2013) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1103

Dynamics and regulation of the central carbon metabolism in Escherichia coli during fed-batch cultivations

Hardiman, T. (2009) · OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · doi:10.18419/opus-1865

Learning gene regulatory networks based on Dempster-Shafer evidence theory

Zhang, H., & Ying-fei, S. (2010) · International Conference on Advanced Computer Theory and Engineering · doi:10.1109/icacte.2010.5579701

Comparative analysis of network algorithms to address modularity with gene expression temporal data

Mohammed, S. (2013) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/2506583.2506698

Nontrivial Characteristics Embedded in Microarray Coexpression Profiles

Yin, C.-Y., Yang, H., Zhu, G., & Wang, B.-H. (2015) · Journal of Physics Conference Series · doi:10.1088/1742-6596/604/1/012022

Computational Systems Biology — neues Fach in den Lebenswissenschaften

Wiechert, W., & Klamt, S. (2015) · BIOspektrum · doi:10.1007/s12268-015-0537-3

Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery

Yao, S., Yoo, S., & Yu, D. (2013) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2013.107

A framework for integrative analysis of transcriptional and post-transcriptional gene regulation

Oğul, H., & Özcan, G. S. (2013) · International Conference on Application of Information and Communication Technologies · doi:10.1109/icaict.2013.6722723

Using graph theory to analyze gene network coherence

Gómez-Vela, F., Díaz–Díaz, N., Lagares, J. A., Sánchez, J. A., & Aguilar–Ruiz, J. S. (2012) · EMBnet journal · doi:10.14806/ej.18.b.541

Cyclic graphs with noisy-max structures and its modeling on signaling pathways

Shi, D. (2013) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2013.6746998

Pheno2GRN

Weinandt, N., Jackson, L. M., Gnimpiéba, E. Z., & Lushbough, C. (2014) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/2649387.2660851

Gene Networks Validation based on Metabolic Pathways

Gómez-Vela, F., Díaz–Díaz, N., & Aguilar–Ruiz, J. S. (2011) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2011.10

Developments on the Regulatory Network Computational Device

Lopes, R. L., & Costa, E. J. F. (2014) · International Journal of Natural Computing Research · doi:10.4018/ijncr.2014100104

Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods

Arsene, C., Ardevan, D., & Bulzu, P. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09042-9_12

Constructing Time-Varying Gene Regulatory Networks

Ni, X., & Sun, Y. (2013) · International Conference on Information, Business and Education Technology (ICIBET) · doi:10.2991/icibet.2013.11

Gene network modelling using computational method by integrating with prior knowledge

Zainudin, S., & Mohamed, N. S. (2011) · doi:10.1109/iceei.2011.6021826

Gene Regulatory Networks Under Negative Feedback

Ahsen, M. E., Özbay, H., & Niculescu, S. (2015) · Springer briefs in electrical and computer engineering · doi:10.1007/978-3-319-15606-4_5

Refining Ensembles of Predicted Gene Regulatory Networks Based on Characteristic Interaction Sets

Windhager, L., Zierer, J., & Küffner, R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084596

Gene networks from high-throughput data -Reverse engineering and analysis

Gustafsson, M. (2010) · KTH Publication Database DiVA (KTH Royal Institute of Technology)

Global Network Alignment Method Using Node Similarity Based on Network Characteristics

Afuso, H., Okazaki, T., & Nakamura, M. (2013) · IPSJ Transactions on Bioinformatics · doi:10.2197/ipsjtbio.6.2

Finding the Minimal Gene Regulatory Function in the Presence of Undefined Transitional States Using a Genetic Algorithm

Chavez-Alvarez, R., Chavoya, A., & López‐Martín, C. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-28792-3_29

Data- and knowledge-based modeling of gene regulatory networks: an update

Linde, J., Schulze, S., Henkel, S., & Guthke, R. (2015) · EXCLI journal · doi:10.17179/excli2015-168 · Cited by 59

A Study on Machine Learning Methods for the Reverse Engineering of Genetic Regulatory Networks

Recamonde‐Mendoza, M. (2011)

Making Headway into the Complexity of Biology Systems Approaches in Understanding Evolution and Evolvability

Agarwal, S. (2013)

Computational Inferences of Mutations Driving Mesenchymal Differentiation in Glioblastoma

Chen, J. C. (2013) · doi:10.7916/d8gm87cf

Integrative methods for reconstruction of dynamic networks in chondrogenesis

Weber, M. (2013) · Common Library Network (Der Gemeinsame Bibliotheksverbund)

Gene Regulatory Network: A New Paradigm in Bioinformatics

Singh, S. (2013) · Studium Press LLC eBooks

Modeling of Spatial Distribution of Knockout Effect for Genes Associated With Aggressiveness of Low Grade Glioma in Human Brain Tissues Using Machine Learning

Петровский, Е. Д., & Petrovskiy, E. D. (2014) · Mathematical Biology and Bioinformatics · doi:10.17537/2014.9.534

Integrative approaches for biological network inferences

Kim, D. (2014) · UTA ResearchCommons (University of Texas Arlington)

A Modeling Framework for Generation of Positional and Temporal Simulations of Transcriptional Regulation

Knox, D., & Dowell, R. D. (2015) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2015.2459708

Systems modeling and network inference for genetic and epigenetic regulation of gene expression

Chen, H. (2016) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/66633

Reconstructing Large-scale Cellular Networks Using a Sparse Approximation Approach**This work was supported in part by the 973 Program (2009CB320602, 2012CB316504), the NNSFC (61174122 and 51361135705), and the SRFDPHE (20110002110045).

Zhang, W., Zhang, Y., & Zhou, T. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.12.134

Constructing gene network based on biclusters of expression data

Liu, F., Yang, L., Tian, Z., Wu, P., & Sun, S. L. (2016) · Genetics and Molecular Research · doi:10.4238/gmr.15028784

From Cellular Components to Living Cells (and Back): Evolution of Function in Biological Networks

Lenser, T. (2011) · Common Library Network (Der Gemeinsame Bibliotheksverbund)

Modeling dynamic gene expression in STREPTOMYCES COELICOLOR: Comparing single and multi‐objective setups

Thomas, S. A., Jin, Y., Laing, E., & Smith, C. P. S. (2016) · Wiley eBooks · doi:10.1002/9781119079453.ch7

Evaluation of Time Series Microarray Data for Dynamic Gene Regulatory Network Inference

Xenitidis, P., Seimenis, I., Kakolyris, S., & Adamopoulos, A. V. (2016) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-32703-7_110

Inferring genetic architecture from systems genetics studies

Sun, X., Mohr, S. E., Vinayagam, A., Hong, P., & Perrimon, N. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781139012751.008

Network Identification MethodsPreprint

Chang, Y. H., Clair, T. J., & Member, I. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/071217

Construction of Gene Network System Associated with Economic Traits in Cattle

Lim, D., Kim, H.-Y., Cho, Y.-M., Chai, H., Park, J., Lim, K., & Lee, S.-S. (2016) · Journal of Life Science · doi:10.5352/jls.2016.26.8.904

Network topology identific ation based on measured data

Zamanighomi, M. (2015)

Simulation modeling framework to study transcriptional regulation through the dynamic changes in the configuration of DNA binding factors, A

Knox, D. (2015) · doi:10.25677/wn80-vk96

Adaptive input data transformation for improved network reconstruction with information theoretic algorithms

Kannan, V., & Tegner, J. N. (2016) · Statistical Applications in Genetics and Molecular Biology · doi:10.1515/sagmb-2016-0013

Discovering Transcriptional Regulation by Integrating Protein-Protein Interaction, Gene Expression and Transcriptional Interaction Data

Luo, F., & Li, J. (2009)

Simultaneous execution method of gene clustering and network inference

Kimura, S., Tokuhisa, M., & Okada, M. (2016) · IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) · doi:10.1109/cibcb.2016.7758123

Towards the complete picture

Bohler (2017) · doi:10.26481/dis.20170216abd

Avaliação de métodos de inferência de redes de regulação gênica.

Fachini, A. R. (2017) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.3.2017.tde-18012017-084639

Identifying Regulators from Multiple Types of Biological Data in Cancer

Baur, B. A. (2017) · e-Publications@Marquette (Marquette University)

Using A Priori Knowledge after Genetic Network Inference: Integrating Multiple Kinds of Knowledge

Kimura, S., Kitazawa, K., Tokuhisa, M., & Okada, M. (2017) · Chem-Bio Informatics Journal · doi:10.1273/cbij.17.53

Post-inference Methods of Prior Knowledge Incorporation in Gene Regulatory Network InferencePreprint

Nair, A., & Chetty, M. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/122341

Integração de dados na inferência de redes de genes: avaliação de informações biológicas e características topológicas

Vicente, F. F. D. R. (2017) · doi:10.11606/t.95.2017.tde-27102016-162425

Inferência de redes gênicas por agrupamento, busca exaustiva e análise de predição intrinsecamente multivariada.

Jacomini, R. D. S. (2017) · doi:10.11606/t.3.2017.tde-05092017-111639

Integrating Multi-view Data: A Hypergraph Based Approach

Khan, S. A., & Ray, S. (2017) · Communications in computer and information science · doi:10.1007/978-981-10-6430-2_27

Novel algorithms for inferring granger causality using biological data

Furqan, M. S. (2017) · doi:10.32657/10356/72683

Gene Expression for Simulation of Biological Tissue

Sayfullin, S., Akhmetov, F., Mazzara, M., Mustafin, R., & Rivera, V. (2018) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2018.00092

Inferring the time-varying functional connectivity of large-scale computer networks from emitted eventsPreprint

Messager, A., Parisis, G., Kiss, I. Z., Harper, R., Tee, P., & Luc Berthouze, A. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1802.04036

Large scale modeling of genetic networks using gene knockout data

Youseph, A. S. K., Chetty, M., & Karmakar, G. (2018) · Australasian Computer Science Week Multiconference (ACSW) · doi:10.1145/3167918.3167950

Unsupervised gene regulatory network inference on microarray data

Radia, N. (2015)

Finite-time parametric identification for the model representing the metabolic and genetic regulatory effects of sequential aerobic respiration and anaerobic fermentation processes in Escherichia coli

Sepúlveda-Gálvez, A., Badillo-Corona, J. A., & Chaírez, I. (2017) · Mathematical Medicine and Biology A Journal of the IMA · doi:10.1093/imammb/dqx004

DeTangle: A Framework for Interactive Prediction and Visualization of Gene Regulatory Networks

Altarawy, D. (2017) · VTechWorks (Virginia Tech)

Control of cell division orientation during vascular development in Arabidopsis thaliana

Smet, W. (2018) · doi:10.18174/460758

Optimal Function Prediction of Key Aberrant Genes in Early-onset Preeclampsia Using a Modified Network-based Guilt by Association Method.

Wang, J., Bi, Y.-P., Li, J., Tian, Y., Yang, X., & Sun, Z. (2018) · Europe PMC (PubMed Central)

Ecological Metabolomics: Challenges and Perspectives

Jan, S., & Ahmad, P. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814872-3.00006-0

Identification of new therapeutic targets in CRLF2- overexpressing B-ALL through discovery of TF-gene regulatory interactionsPreprint

Badri, S., Carella, B. A., Lhoumaud, P., Castro, D. M., Gibbs, C. S., Raviram, R., Narang, S., Evensen, N. A., Watters, A., Carroll, W. L., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/654418

Halobacterium salinarum NRC-1: rede de regulação gênica e sua análise probabilística

Crocetti, G. M. (2018) · doi:10.11606/d.95.2018.tde-31052018-172109

The Method of Construction and Analysis of Gene Regulatory Network

Zheng, M., & Zhuo, M. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-25128-4_229

Systems and Synthetic Biology Approach to Understand the Importance of Host-Pathogen Interaction

Prabhu, A. A., & VenkataDasu, V. (2019) · Springer eBooks · doi:10.1007/978-981-32-9084-6_19

Mapeo fino de regiones genómicas portadoras de QTL con influencias sobre caracteres de producción de leche en el ganado ovino = Fine mapping of genomic regions underlying qtl for milk production traits in sheep

García-Gámez, E. (2012) · Buleria (Universidad de León) · doi:10.18002/10612/2260

Systems biology, drug development, and clinical outcomes

Bueno, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817613-9.00007-9

Differential Dependency Network and Data Integration for Detecting Network Rewiring and Biomarkers

Fu, Y. (2020) · VTechWorks (Virginia Tech)

Modeling gene regulatory networks: Classical models, optimal perturbation for identification of network

Bayat, R., Sadeghi, M., & Aref, M. R. (2020) · Signal and Data Processing · doi:10.29252/jsdp.17.2.112

Methods for Reconstructing Networks with Incomplete Information.

Henderson, J. B. (2015) · Deep Blue (University of Michigan)

Reverse engineering of gene regulatory networks

Cho, K.-H., Choo, S., Jung, S. H., Kim, J., Choi, H. S., & Kim, J. (2007) · IET Systems Biology · doi:10.1049/iet-syb:20060075 · Cited by 120

Reverse engineering of gene regulatory networks from biological data

Liu, L., Wu, F., & Zhang, W. (2012) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1068 · Cited by 14

Computational methods for Gene Regulatory Networks reconstruction and analysis: A review

Delgado-Chaves, F. M., & Gómez-Vela, F. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2018.10.006 · Cited by 213

iLSGRN: inference of large-scale gene regulatory networks based on multi-model fusion

Wu, Y., Qian, B., Wang, A., Dong, H., Zhu, E., & Ma, B. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad619 · Cited by 5

Integrating heterogeneous gene expression data for gene regulatory network modelling

Sîrbu, A., Ruskin, H. J., & Crane, M. (2011) · Theory in Biosciences · doi:10.1007/s12064-011-0133-0 · Cited by 8