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For: Kuperstein I, Bonnet E, Nguyen HA, Cohen D, Viara E, Grieco L, Fourquet S, Calzone L, Russo C, Kondratova M, Dutreix M, Barillot E, Zinovyev A. Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps. Oncogenesis 2015;4:e160. [PMID: 26192618 DOI: 10.1038/oncsis.2015.19] [Cited by in Crossref: 93] [Cited by in F6Publishing: 72] [Article Influence: 13.3] [Reference Citation Analysis]
Number Citing Articles
1 Hassan M, Awan FM, Naz A, deAndrés-Galiana EJ, Alvarez O, Cernea A, Fernández-Brillet L, Fernández-Martínez JL, Kloczkowski A. Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review. Int J Mol Sci 2022;23:4645. [PMID: 35563034 DOI: 10.3390/ijms23094645] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Collin CB, Gebhardt T, Golebiewski M, Karaderi T, Hillemanns M, Khan FM, Salehzadeh-yazdi A, Kirschner M, Krobitsch S, Kuepfer L; EU-STANDS4PM consortium. Computational Models for Clinical Applications in Personalized Medicine—Guidelines and Recommendations for Data Integration and Model Validation. JPM 2022;12:166. [DOI: 10.3390/jpm12020166] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
3 Glavaški M, Velicki L. Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms' representation. BioData Min 2021;14:45. [PMID: 34600580 DOI: 10.1186/s13040-021-00279-2] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Hyung D, Baek MJ, Lee J, Cho J, Kim HS, Park C, Cho SY. Protein-gene Expression Nexus: Comprehensive characterization of human cancer cell lines with proteogenomic analysis. Comput Struct Biotechnol J 2021;19:4759-69. [PMID: 34504668 DOI: 10.1016/j.csbj.2021.08.022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Schultz B, Zaliani A, Ebeling C, Reinshagen J, Bojkova D, Lage-Rupprecht V, Karki R, Lukassen S, Gadiya Y, Ravindra NG, Das S, Baksi S, Domingo-Fernández D, Lentzen M, Strivens M, Raschka T, Cinatl J, DeLong LN, Gribbon P, Geisslinger G, Ciesek S, van Dijk D, Gardner S, Kodamullil AT, Fröhlich H, Peitsch M, Jacobs M, Hoeng J, Eils R, Claussen C, Hofmann-Apitius M. A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization. Sci Rep 2021;11:11049. [PMID: 34040048 DOI: 10.1038/s41598-021-90296-2] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
6 Rougny A, Paulevé L, Teboul M, Delaunay F. A detailed map of coupled circadian clock and cell cycle with qualitative dynamics validation. BMC Bioinformatics 2021;22:240. [PMID: 33975535 DOI: 10.1186/s12859-021-04158-9] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Mazein A, Rougny A, Karr JR, Saez-Rodriguez J, Ostaszewski M, Schneider R. Reusability and composability in process description maps: RAS-RAF-MEK-ERK signalling. Brief Bioinform 2021:bbab103. [PMID: 33834185 DOI: 10.1093/bib/bbab103] [Reference Citation Analysis]
8 Türei D, Valdeolivas A, Gul L, Palacio-Escat N, Klein M, Ivanova O, Ölbei M, Gábor A, Theis F, Módos D, Korcsmáros T, Saez-Rodriguez J. Integrated intra- and intercellular signaling knowledge for multicellular omics analysis. Mol Syst Biol 2021;17:e9923. [PMID: 33749993 DOI: 10.15252/msb.20209923] [Cited by in Crossref: 7] [Cited by in F6Publishing: 30] [Article Influence: 7.0] [Reference Citation Analysis]
9 Baines C, Lerebours A, Thomas F, Fort J, Kreitsberg R, Gentes S, Meitern R, Saks L, Ujvari B, Giraudeau M, Sepp T. Linking pollution and cancer in aquatic environments: A review. Environment International 2021;149:106391. [DOI: 10.1016/j.envint.2021.106391] [Cited by in Crossref: 3] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
10 Rougny A, Touré V, Albanese J, Waltemath D, Shirshov D, Sorokin A, Bader GD, Blinov ML, Mazein A. SBGN Bricks Ontology as a tool to describe recurring concepts in molecular networks. Brief Bioinform 2021:bbab049. [PMID: 33758926 DOI: 10.1093/bib/bbab049] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Moya-García AA, Pino-Ángeles A, Sánchez-Jiménez F, Urdiales JL, Medina MÁ. Histamine, Metabolic Remodelling and Angiogenesis: A Systems Level Approach. Biomolecules 2021;11:415. [PMID: 33799732 DOI: 10.3390/biom11030415] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
12 Aghamiri SS, Singh V, Naldi A, Helikar T, Soliman S, Niarakis A. Automated inference of Boolean models from molecular interaction maps using CaSQ. Bioinformatics 2020;36:4473-82. [PMID: 32403123 DOI: 10.1093/bioinformatics/btaa484] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 14.0] [Reference Citation Analysis]
13 Carcereny E, Fernández-Nistal A, López A, Montoto C, Naves A, Segú-Vergés C, Coma M, Jorba G, Oliva B, Mas JM. Head to head evaluation of second generation ALK inhibitors brigatinib and alectinib as first-line treatment for ALK+ NSCLC using an in silico systems biology-based approach. Oncotarget 2021;12:316-32. [PMID: 33659043 DOI: 10.18632/oncotarget.27875] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
14 Nishi A, Ohbuchi K, Kaifuchi N, Shimobori C, Kushida H, Yamamoto M, Kita Y, Tokuoka SM, Yachie A, Matsuoka Y, Kitano H. LimeMap: a comprehensive map of lipid mediator metabolic pathways. NPJ Syst Biol Appl 2021;7:6. [PMID: 33504811 DOI: 10.1038/s41540-020-00163-5] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
15 Lonjou C, Eon-Marchais S, Truong T, Dondon MG, Karimi M, Jiao Y, Damiola F, Barjhoux L, Le Gal D, Beauvallet J, Mebirouk N, Cavaciuti E, Chiesa J, Floquet A, Audebert-Bellanger S, Giraud S, Frebourg T, Limacher JM, Gladieff L, Mortemousque I, Dreyfus H, Lejeune-Dumoulin S, Lasset C, Venat-Bouvet L, Bignon YJ, Pujol P, Maugard CM, Luporsi E, Bonadona V, Noguès C, Berthet P, Delnatte C, Gesta P, Lortholary A, Faivre L, Buecher B, Caron O, Gauthier-Villars M, Coupier I, Mazoyer S, Monraz LC, Kondratova M, Kuperstein I, Guénel P, Barillot E, Stoppa-Lyonnet D, Andrieu N, Lesueur F. Gene- and pathway-level analyses of iCOGS variants highlight novel signaling pathways underlying familial breast cancer susceptibility. Int J Cancer 2021;148:1895-909. [PMID: 33368296 DOI: 10.1002/ijc.33457] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
16 Touré V, Flobak Å, Niarakis A, Vercruysse S, Kuiper M. The status of causality in biological databases: data resources and data retrieval possibilities to support logical modeling. Brief Bioinform 2021;22:bbaa390. [PMID: 33378765 DOI: 10.1093/bib/bbaa390] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
17 Agapito G, Pastrello C, Jurisica I. Comprehensive pathway enrichment analysis workflows: COVID-19 case study. Briefings in Bioinformatics 2021;22:676-89. [DOI: 10.1093/bib/bbaa377] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Aghakhani S, Zerrouk N, Niarakis A. Metabolic Reprogramming of Fibroblasts as Therapeutic Target in Rheumatoid Arthritis and Cancer: Deciphering Key Mechanisms Using Computational Systems Biology Approaches. Cancers (Basel) 2020;13:E35. [PMID: 33374292 DOI: 10.3390/cancers13010035] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
19 Tsirvouli E, Touré V, Niederdorfer B, Vázquez M, Flobak Å, Kuiper M. A Middle-Out Modeling Strategy to Extend a Colon Cancer Logical Model Improves Drug Synergy Predictions in Epithelial-Derived Cancer Cell Lines. Front Mol Biosci 2020;7:502573. [PMID: 33195403 DOI: 10.3389/fmolb.2020.502573] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
20 Hernandez C, Thomas-Chollier M, Naldi A, Thieffry D. Computational Verification of Large Logical Models-Application to the Prediction of T Cell Response to Checkpoint Inhibitors. Front Physiol 2020;11:558606. [PMID: 33101049 DOI: 10.3389/fphys.2020.558606] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
21 Xu P, Wu Q, Lu D, Yu J, Rao Y, Kou Z, Fang G, Liu W, Han H. A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path. BMC Bioinformatics 2020;21:396. [PMID: 32894041 DOI: 10.1186/s12859-020-03732-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 10] [Article Influence: 1.0] [Reference Citation Analysis]
22 Amadoz A, Hidalgo MR, Çubuk C, Carbonell-Caballero J, Dopazo J. A comparison of mechanistic signaling pathway activity analysis methods. Brief Bioinform 2019;20:1655-68. [PMID: 29868818 DOI: 10.1093/bib/bby040] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 9.0] [Reference Citation Analysis]
23 Hoksza D, Gawron P, Ostaszewski M, Smula E, Schneider R. MINERVA API and plugins: opening molecular network analysis and visualization to the community. Bioinformatics 2019;35:4496-8. [PMID: 31074494 DOI: 10.1093/bioinformatics/btz286] [Cited by in Crossref: 11] [Cited by in F6Publishing: 14] [Article Influence: 5.5] [Reference Citation Analysis]
24 Iannuccelli M, Micarelli E, Surdo PL, Palma A, Perfetto L, Rozzo I, Castagnoli L, Licata L, Cesareni G. CancerGeneNet: linking driver genes to cancer hallmarks. Nucleic Acids Res. 2020;48:D416-D421. [PMID: 31598703 DOI: 10.1093/nar/gkz871] [Cited by in Crossref: 7] [Cited by in F6Publishing: 13] [Article Influence: 3.5] [Reference Citation Analysis]
25 Chuang YH, Lee CH, Lin CY, Liu CL, Huang SH, Lee JY, Chiu YY, Lee JC, Yang JM. An Integrated Genomic Strategy to Identify CHRNB4 as a Diagnostic/Prognostic Biomarker for Targeted Therapy in Head and Neck Cancer. Cancers (Basel) 2020;12:E1324. [PMID: 32455963 DOI: 10.3390/cancers12051324] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
26 Rahmati S, Abovsky M, Pastrello C, Kotlyar M, Lu R, Cumbaa CA, Rahman P, Chandran V, Jurisica I. pathDIP 4: an extended pathway annotations and enrichment analysis resource for human, model organisms and domesticated species. Nucleic Acids Res 2020;48:D479-88. [PMID: 31733064 DOI: 10.1093/nar/gkz989] [Cited by in Crossref: 8] [Cited by in F6Publishing: 16] [Article Influence: 4.0] [Reference Citation Analysis]
27 Noronha A, Modamio J, Jarosz Y, Guerard E, Sompairac N, Preciat G, Daníelsdóttir AD, Krecke M, Merten D, Haraldsdóttir HS, Heinken A, Heirendt L, Magnúsdóttir S, Ravcheev DA, Sahoo S, Gawron P, Friscioni L, Garcia B, Prendergast M, Puente A, Rodrigues M, Roy A, Rouquaya M, Wiltgen L, Žagare A, John E, Krueger M, Kuperstein I, Zinovyev A, Schneider R, Fleming RMT, Thiele I. The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease. Nucleic Acids Res 2019;47:D614-24. [PMID: 30371894 DOI: 10.1093/nar/gky992] [Cited by in Crossref: 104] [Cited by in F6Publishing: 122] [Article Influence: 52.0] [Reference Citation Analysis]
28 Singh V, Kalliolias GD, Ostaszewski M, Veyssiere M, Pilalis E, Gawron P, Mazein A, Bonnet E, Petit-Teixeira E, Niarakis A. RA-map: building a state-of-the-art interactive knowledge base for rheumatoid arthritis. Database (Oxford) 2020;2020:baaa017. [PMID: 32311035 DOI: 10.1093/database/baaa017] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
29 Ravel JM, Monraz Gomez LC, Sompairac N, Calzone L, Zhivotovsky B, Kroemer G, Barillot E, Zinovyev A, Kuperstein I. Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases. Cancers (Basel) 2020;12:E990. [PMID: 32316560 DOI: 10.3390/cancers12040990] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
30 Montagud A, Traynard P, Martignetti L, Bonnet E, Barillot E, Zinovyev A, Calzone L. Conceptual and computational framework for logical modelling of biological networks deregulated in diseases. Brief Bioinform 2019;20:1238-49. [PMID: 29237040 DOI: 10.1093/bib/bbx163] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
31 Mousa H, Elgamal M, Marei RG, Souchelnytskyi N, Lin KW, Souchelnytskyi S. Acquisition of Invasiveness by Breast Adenocarcinoma Cells Engages Established Hallmarks and Novel Regulatory Mechanisms. Cancer Genomics Proteomics 2019;16:505-18. [PMID: 31659104 DOI: 10.21873/cgp.20153] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
32 Humayun F, Domingo-Fernández D, Paul George AA, Hopp MT, Syllwasschy BF, Detzel MS, Hoyt CT, Hofmann-Apitius M, Imhof D. A Computational Approach for Mapping Heme Biology in the Context of Hemolytic Disorders. Front Bioeng Biotechnol 2020;8:74. [PMID: 32211383 DOI: 10.3389/fbioe.2020.00074] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
33 Raimúndez E, Keller S, Zwingenberger G, Ebert K, Hug S, Theis FJ, Maier D, Luber B, Hasenauer J. Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines. PLoS Comput Biol 2020;16:e1007147. [PMID: 32119655 DOI: 10.1371/journal.pcbi.1007147] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
34 Ostaszewski M, Gebel S, Kuperstein I, Mazein A, Zinovyev A, Dogrusoz U, Hasenauer J, Fleming RMT, Le Novère N, Gawron P, Ligon T, Niarakis A, Nickerson D, Weindl D, Balling R, Barillot E, Auffray C, Schneider R. Community-driven roadmap for integrated disease maps. Brief Bioinform 2019;20:659-70. [PMID: 29688273 DOI: 10.1093/bib/bby024] [Cited by in Crossref: 26] [Cited by in F6Publishing: 26] [Article Influence: 13.0] [Reference Citation Analysis]
35 Saqi M, Lysenko A, Guo YK, Tsunoda T, Auffray C. Navigating the disease landscape: knowledge representations for contextualizing molecular signatures. Brief Bioinform 2019;20:609-23. [PMID: 29684165 DOI: 10.1093/bib/bby025] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
36 Romers J, Thieme S, Münzner U, Krantz M. A scalable method for parameter-free simulation and validation of mechanistic cellular signal transduction network models. NPJ Syst Biol Appl 2020;6:2. [PMID: 31934349 DOI: 10.1038/s41540-019-0120-5] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
37 Balaur I, Roy L, Mazein A, Karaca SG, Dogrusoz U, Barillot E, Zinovyev A, Valencia A. cd2sbgnml: bidirectional conversion between CellDesigner and SBGN formats. Bioinformatics 2020;36:2620-2. [DOI: 10.1093/bioinformatics/btz969] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
38 Ivanova O, Richards LB, Vijverberg SJ, Neerincx AH, Sinha A, Sterk PJ, Maitland-van der Zee AH. What did we learn from multiple omics studies in asthma? Allergy 2019;74:2129-45. [PMID: 31004501 DOI: 10.1111/all.13833] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 5.7] [Reference Citation Analysis]
39 Guo T, Luna A, Rajapakse VN, Koh CC, Wu Z, Liu W, Sun Y, Gao H, Menden MP, Xu C, Calzone L, Martignetti L, Auwerx C, Buljan M, Banaei-Esfahani A, Ori A, Iskar M, Gillet L, Bi R, Zhang J, Zhang H, Yu C, Zhong Q, Varma S, Schmitt U, Qiu P, Zhang Q, Zhu Y, Wild PJ, Garnett MJ, Bork P, Beck M, Liu K, Saez-Rodriguez J, Elloumi F, Reinhold WC, Sander C, Pommier Y, Aebersold R. Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines. iScience 2019;21:664-80. [PMID: 31733513 DOI: 10.1016/j.isci.2019.10.059] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 7.0] [Reference Citation Analysis]
40 Kondratova M, Czerwinska U, Sompairac N, Amigorena SD, Soumelis V, Barillot E, Zinovyev A, Kuperstein I. A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures. Nat Commun 2019;10:4808. [PMID: 31641119 DOI: 10.1038/s41467-019-12270-x] [Cited by in Crossref: 18] [Cited by in F6Publishing: 25] [Article Influence: 6.0] [Reference Citation Analysis]
41 Duciel L, Monraz Gomez LC, Kondratova M, Kuperstein I, Saule S. The Phosphatase PRL-3 Is Involved in Key Steps of Cancer Metastasis. Journal of Molecular Biology 2019;431:3056-67. [DOI: 10.1016/j.jmb.2019.06.008] [Cited by in Crossref: 7] [Cited by in F6Publishing: 12] [Article Influence: 2.3] [Reference Citation Analysis]
42 Bechtel W. From parts to mechanisms: research heuristics for addressing heterogeneity in cancer genetics. Hist Philos Life Sci 2019;41:27. [PMID: 31240400 DOI: 10.1007/s40656-019-0266-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
43 Romano P, Céol A, Dräger A, Fiannaca A, Giugno R, La Rosa M, Milanesi L, Pfeffer U, Rizzo R, Shin SY, Xia J, Urso A. The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes. BMC Bioinformatics 2019;20:125. [PMID: 30999855 DOI: 10.1186/s12859-019-2681-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
44 Sompairac N, Modamio J, Barillot E, Fleming RMT, Zinovyev A, Kuperstein I. Metabolic and signalling network maps integration: application to cross-talk studies and omics data analysis in cancer. BMC Bioinformatics 2019;20:140. [PMID: 30999838 DOI: 10.1186/s12859-019-2682-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
45 Cova TFGG, Bento DJ, Nunes SCC. Computational Approaches in Theranostics: Mining and Predicting Cancer Data. Pharmaceutics 2019;11:E119. [PMID: 30871264 DOI: 10.3390/pharmaceutics11030119] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 3.7] [Reference Citation Analysis]
46 Fröhlich F, Kessler T, Weindl D, Shadrin A, Schmiester L, Hache H, Muradyan A, Schütte M, Lim J, Heinig M, Theis FJ, Lehrach H, Wierling C, Lange B, Hasenauer J. Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model. Cell Systems 2018;7:567-579.e6. [DOI: 10.1016/j.cels.2018.10.013] [Cited by in Crossref: 53] [Cited by in F6Publishing: 41] [Article Influence: 13.3] [Reference Citation Analysis]
47 Kondratova M, Sompairac N, Barillot E, Zinovyev A, Kuperstein I. Signalling maps in cancer research: construction and data analysis. Database (Oxford) 2018;2018. [PMID: 29688383 DOI: 10.1093/database/bay036] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
48 Siebenhaller M, Nielsen SS, McGee F, Balaur I, Auffray C, Mazein A. Human-like layout algorithms for signalling hypergraphs: outlining requirements. Brief Bioinform 2018. [PMID: 30289443 DOI: 10.1093/bib/bby099] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
49 Calzone L, Barillot E, Zinovyev A. Logical versus kinetic modeling of biological networks: applications in cancer research. Current Opinion in Chemical Engineering 2018;21:22-31. [DOI: 10.1016/j.coche.2018.02.005] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
50 Ostaszewski M, Kieffer E, Danoy G, Schneider R, Bouvry P. Clustering approaches for visual knowledge exploration in molecular interaction networks. BMC Bioinformatics 2018;19:308. [PMID: 30157777 DOI: 10.1186/s12859-018-2314-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
51 Mazein A, Knowles RG, Adcock I, Chung KF, Wheelock CE, Maitland‐van der Zee AH, Sterk PJ, Auffray C; AsthmaMap Project Team. AsthmaMap: An expert‐driven computational representation of disease mechanisms. Clin Exp Allergy 2018;48:916-8. [DOI: 10.1111/cea.13211] [Cited by in Crossref: 9] [Cited by in F6Publishing: 12] [Article Influence: 2.3] [Reference Citation Analysis]
52 Mazein A, Ostaszewski M, Kuperstein I, Watterson S, Le Novère N, Lefaudeux D, De Meulder B, Pellet J, Balaur I, Saqi M, Nogueira MM, He F, Parton A, Lemonnier N, Gawron P, Gebel S, Hainaut P, Ollert M, Dogrusoz U, Barillot E, Zinovyev A, Schneider R, Balling R, Auffray C. Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms. NPJ Syst Biol Appl 2018;4:21. [PMID: 29872544 DOI: 10.1038/s41540-018-0059-y] [Cited by in Crossref: 42] [Cited by in F6Publishing: 42] [Article Influence: 10.5] [Reference Citation Analysis]
53 De Meulder B, Lefaudeux D, Bansal AT, Mazein A, Chaiboonchoe A, Ahmed H, Balaur I, Saqi M, Pellet J, Ballereau S, Lemonnier N, Sun K, Pandis I, Yang X, Batuwitage M, Kretsos K, van Eyll J, Bedding A, Davison T, Dodson P, Larminie C, Postle A, Corfield J, Djukanovic R, Chung KF, Adcock IM, Guo YK, Sterk PJ, Manta A, Rowe A, Baribaud F, Auffray C; U-BIOPRED Study Group and the eTRIKS Consortium. A computational framework for complex disease stratification from multiple large-scale datasets. BMC Syst Biol 2018;12:60. [PMID: 29843806 DOI: 10.1186/s12918-018-0556-z] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 4.0] [Reference Citation Analysis]
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