Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Jain, Sonia
2009.
High-Dimensional Data Analysis in Cancer Research.
p.
1.
Stephens, David A.
2009.
Encyclopedia of Complexity and Systems Science.
p.
1226.
Platts, Adrian E.
and
Krawetz, Stephen A.
2009.
Bioinformatics for Systems Biology.
p.
227.
Sun, Ning
and
Zhao, Hongyu
2010.
Knowledge‐Based Bioinformatics.
p.
125.
Ruan, Lingyan
and
Yuan, Ming
2011.
Handbook of Statistical Bioinformatics.
p.
299.
Ruan, Lingyan
and
Yuan, Ming
2011.
An Empirical Bayes' Approach to Joint Analysis of Multiple Microarray Gene Expression Studies.
Biometrics,
Vol. 67,
Issue. 4,
p.
1617.
Szacherski, P.
Giovannelli, J.-F.
Gerfault, L.
Giremus, A.
and
Grangeat, P.
2012.
Robust MS serum sample classification in proteomics by the use of inverse problems.
p.
191.
Stephens, David A.
2012.
Computational Complexity.
p.
561.
Arima, Serena
and
Tardella, Luca
2012.
Improved Harmonic Mean Estimator for Phylogenetic Model Evidence.
Journal of Computational Biology,
Vol. 19,
Issue. 4,
p.
418.
2012.
Bayesian Biostatistics.
p.
484.
Alston, Clair L.
Donald, Margaret
Mengersen, Kerrie L.
and
Pettitt, Anthony N.
2012.
Case Studies in Bayesian Statistical Modelling and Analysis.
p.
1.
Almudevar, Anthony
2013.
Statistical Methods for Microarray Data Analysis.
Vol. 972,
Issue. ,
p.
37.
Bair, Eric
2013.
Identification of significant features in DNA microarray data.
WIREs Computational Statistics,
Vol. 5,
Issue. 4,
p.
309.
Adjed, F.
Giovannelli, J.-F.
Giremus, A.
Dridi, N.
and
Szacherski, P.
2013.
Variable selection for a mixed population applied in proteomics.
p.
1153.
Szacherski, Pascal
Giovannelli, Jean-Francois
Gerfault, Laurent
Mahe, Pierre
Charrier, Jean-Philippe
Giremus, Audrey
Lacroix, Bruno
and
Grangeat, Pierre
2014.
Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.
IEEE Access,
Vol. 2,
Issue. ,
p.
1248.
Dridi, N.
Giremus, A.
Giovannelli, J.-F.
Truntzer, C.
Roy, P.
Gerfaut, L.
Charrier, J.-P.
Ducoroy, P.
Mercier, C.
and
Grangeat, P.
2014.
Variable selection for noisy data applied in proteomics.
p.
2833.
Blomstedt, Paul
Dutta, Ritabrata
Seth, Sohan
Brazma, Alvis
and
Kaski, Samuel
2016.
Modelling-based experiment retrieval: a case study with gene expression clustering.
Bioinformatics,
Vol. 32,
Issue. 9,
p.
1388.
Heiner, Matthew
and
Kottas, Athanasios
2022.
Bayesian Nonparametric Density Autoregression with Lag Selection.
Bayesian Analysis,
Vol. 17,
Issue. 4,
Li, Yuliang
Ni, Yang
Rubin, Leah H.
Spence, Amanda B.
and
Xu, Yanxun
2022.
BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV.
The Annals of Applied Statistics,
Vol. 16,
Issue. 1,