메뉴 건너뛰기




Volumn , Issue , 2013, Pages 431-439

Cyclic causal discovery from continuous equilibrium data

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMICAL REACTIONS; CELLULAR SIGNALING NETWORKS; CONTINUOUS DATA; EQUILIBRIUM DATA; EXPERIMENTAL CONDITIONS; LOCAL LINEARIZATION; MODEL COMPLEXITY; QUANTITATIVE DESCRIPTION;

EID: 84888153835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (60)

References (19)
  • 2
    • 67649136789 scopus 로고    scopus 로고
    • Exact Bayesian structure learning from uncertain interventions
    • Eaton, D. and Murphy, K. (2007). Exact bayesian structure learning from uncertain interventions. In Proceedings AISTATS 2007.
    • (2007) Proceedings AISTATS 2007
    • Eaton, D.1    Murphy, K.2
  • 3
    • 84860698653 scopus 로고    scopus 로고
    • Combining experiments to discover linear cyclic models with latent variables
    • Eberhardt, F., and Hoyer., P. O., and Scheines, R. (2010). Combining experiments to discover linear cyclic models with latent variables. Proceedings AISTATS 2010, pages 185-192.
    • (2010) Proceedings AISTATS 2010 , pp. 185-192
    • Eberhardt, F.1    Hoyer, P.O.2    Scheines, R.3
  • 14
    • 17644427718 scopus 로고    scopus 로고
    • Causal protein-signaling networks derived from multiparameter single-cell data
    • Sachs, K., Perez, O., Pe'er, D., Lauffenburger, D., and Nolan, G. (2005). Causal protein-signaling networks derived from multiparameter single-cell data. Science, 308: 523-529.
    • (2005) Science , vol.308 , pp. 523-529
    • Sachs, K.1    Perez, O.2    Pe'er, D.3    Lauffenburger, D.4    Nolan, G.5
  • 17
    • 84864038646 scopus 로고    scopus 로고
    • Sparse Gaussian processes using pseudo-inputs
    • Weiss, Y., Schölkopf, B., and Platt, J., editors MIT Press, Cambridge, MA
    • *2005), pages 1257-1264. MIT Press, Cambridge, MA.
    • (2006) zast2005) , pp. 1257-1264
    • Snelson, E.1    Ghahramani, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.