"Bayesian Models for the Multi-sample Time-Course Microarray Experiments"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Multi-Level Bayesian Models for Environment Perception	Csaba Benedek	1st ed. 2022	Springer International Publishing
Bayesian Time Series Models	David Barber; A. Taylan Cemgil; Silvia Chiappa	2011-08	Cambridge University Press
Sample Size Choice: Charts for Experiments with Linear Models	Odeh, Robert E; Fox, Martin	2020	CRC Press
Sample size choice: charts for experiments with linear models	Robert E. Odeh	1975	Marcel Dekker
Bayesian Models for Categorical Data	Peter Congdon	2005	John Wiley & Sons
Bayesian parametric models	Peter J. Kempthorne	1989	Alfred P. Sloan School of Management, Massachusetts Institute of Technology
Bayesian Models: A Statistical Primer for Ecologists	N. Thompson Hobbs; Mevin B. Hooten	2015	Princeton University Press
Sample size requirements for zero order models	Manohar U. Kalwani	1978	Alfred P. Sloan School of Management, M.I.T.
Finite sample inference for quantile regression models	Victor Chernozhukov	2006	Massachusetts Institute of Technology, Dept. of Economics
Optimum Designs for Multi-Factor Models	Rainer Schwabe	1996	Springer New York
PDE Models for Multi-Agent Phenomena	Pierre Cardaliaguet; Alessio Porretta; Francesco Salvarani	1st ed. 2018	Springer International Publishing
Multi-level models for geographical research	Kelvyn Jones	1991	Order from Environmental Publications, University of East Anglia
Bayesian Forecasting and Dynamic Models	Mike West; Jeff Harrison	2nd ed. 1997	Springer New York
Bayesian Forecasting and Dynamic Models	Mike West; Jeff Harrison	1989	Springer New York
Bayesian Estimation of DSGE Models	Edward P. Herbst; Frank Schorfheide	2015	Princeton University Press
Benefits of Bayesian Network Models	Philippe Weber	2016	John Wiley & Sons
Bringing Bayesian Models to Life	Mevin B. Hooten; Trevor J. Hefley	2019	Routledge
Bayesian Analysis of Linear Models	Broemeling	1985	Routledge
Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height	Erik Vanem	2013	Springer Berlin Heidelberg
Some rotation models for multi-location, multi-grade personnel systems	Robert Dale Rantschler	1974	Naval Postgraduate School
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Bayesian Models for the Multi-sample Time-Course Microarray Experiments	Claudia Angelini; Daniela De Canditiis; Marianna Pensky; Naomi Brownstein	Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers	Elia Biganzoli; Alfredo Vellido; Federico Ambrogi; Roberto Tagliaferri	2012	Springer Berlin Heidelberg
22 - Sample Size Choice for Microarray Experiments	Peter Müller; Christian Robert; Judith Rousseau	Bayesian Inference for Gene Expression and Proteomics	Kim-Anh Do; Peter Müller; Marina Vannucci	2006-07	Cambridge University Press
Bayesian Dimension Reduction Models for Microarray Data	Albert D. Shieh	Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers	Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beliczynski	2009	Springer Berlin Heidelberg
Multi-sample Models	N. Balakrishnan; Erhard Cramer	The Art of Progressive Censoring: Applications to Reliability and Quality	N. Balakrishnan; Erhard Cramer	2014	Springer New York
Time-Course Microarray Data Analysis	Shizhong Xu	Principles of Statistical Genomics	Shizhong Xu	2012	Springer New York
Bayesian Methods for Time Course Microarray Analysis: From Genes’ Detection to Clustering	Claudia Angelini; Daniela De Canditiis; Marianna Pensky	Advanced Statistical Methods for the Analysis of Large Data-Sets	Agostino Di Ciaccio; Mauro Coli; Jose Miguel Angulo Ibanez	2012	Springer Berlin Heidelberg
Bayesian Network Classifiers for Time-Series Microarray Data	Allan Tucker; Veronica Vinciotti; Peter A. C. ’t Hoen; Xiaohui Liu	Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings	A. Fazel Famili; Joost N. Kok; José M. Pena; Arno Siebes; Ad Feelders	2005	Springer Berlin Heidelberg
One-Factor Multi-Sample Experiments	Peter R. Nelson; Marie Coffin; Karen A.F. Copeland	Introductory Statistics for Engineering Experimentation	Peter R. Nelson; Marie Coffin and Karen A.F. Copeland	2003	Academic Press
Bayesian Methods for Microarray Data		Analysis of Microarray Gene Expression Data	Mei-Ling Ting Lee	2004	Springer US
Bayesian Methods for Microarray Data	Tanzy Love; Alicia Carriquiry	Handbook of Statistics	Ranajit Chakraborty; C.R. Rao; Pranab Sen	2012	Elsevier
Bayesian methods for microarray data		Handbook of statistical genetics	D. J. Balding; M. J. Bishop; C. Cannings	2007	John Wiley & Sons
Bayesian Classification for Microarray Data		Bayesian Analysis of Gene Expression Data	Bani K. Mallick	2009	John Wiley & Sons
Bayesian time series models		Hands-On Machine Learning for Algorithmic Trading	Stefan Jansen	2018	Packt
Mining Gene-Sample-Time Microarray Data		Microarray Image and Data Analysis: Theory and Practice	Luis Rueda	2014	Routledge
3 - Bayesian Hierarchical Models for Inference in Microarray Data	Anne-Mette K. Hein; Alex Lewin; Sylvia Richardson	Bayesian Inference for Gene Expression and Proteomics	Kim-Anh Do; Peter Müller; Marina Vannucci	2006-07	Cambridge University Press
Bayesian Inference for Multi-State Survival Models	Ardo van den Hout	Multi-State Survival Models for Interval-Censored Data	Ardo van den Hout	2016	Routledge
Designing Microarray Experiments for Neurobiology	P. Scott Eastman; Jeanne F. Loring	Apoptosis Techniques and Protocols	Andréa C. LeBlanc	2nd ed. 2002	Humana Press
Designing Microarray Experiments	Paola Sebastiani; Jacqui Milton; Ling Wang	Problem Solving Handbook in Computational Biology and Bioinformatics	Lenwood S. Heath; Naren Ramakrishnan	2011	Springer US
Bayesian Experiments	Jean Pierre Florens; Michel Mouchart; Jean-Marie Rolin	Elements of Bayesian Statistics	Florens	1990	Routledge
Bayesian Multi-topic Microarray Analysis with Hyperparameter Reestimation	Tomonari Masada; Tsuyoshi Hamada; Yuichiro Shibata; Kiyoshi Oguri	Advanced Data Mining and Applications: 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings	Ronghuai Huang; Qiang Yang; Jian Pei; João Gama; Xiaofeng Meng; Xue Li	2009	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Bayesian Models for the Multi-sample Time-Course Microarray Experiments" - similar Books and Chapters