Add to ORKG(Article begins on next page) The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. Citation Parikh, Neena, Amin Zollanvari, and Gil Alterovitz. 2012. An automated Bayesian framework for integrative gene expression analysis and predictive medicine. AMIA Summits on Translationa
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
Background. DNA microarrays measure the expression levels of tens of thousands of genes simultaneous...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
We propose methods to integrate data across several genomic platforms using a hierarchical Bayesian ...
We propose methods to integrate data across several genomic platforms using a hierarchical Bayesian ...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Ces dernières années, la génomique a connu un intérêt scientifique grandissant, notamment depuis la ...
Motivation: Analyzing data from multi-platform genomics experiments combined with patients ’ clinica...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Hypothesis testing using Bayesian networks has been proven time and again to be very useful for vari...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Here we describe a prediction-based framework to analyze omic data and generate models for both dise...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
<p>(<b>a</b>) The learned Bayesian network topology reveals regulatory relationships between transcr...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
Background. DNA microarrays measure the expression levels of tens of thousands of genes simultaneous...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
We propose methods to integrate data across several genomic platforms using a hierarchical Bayesian ...
We propose methods to integrate data across several genomic platforms using a hierarchical Bayesian ...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Ces dernières années, la génomique a connu un intérêt scientifique grandissant, notamment depuis la ...
Motivation: Analyzing data from multi-platform genomics experiments combined with patients ’ clinica...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Hypothesis testing using Bayesian networks has been proven time and again to be very useful for vari...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Here we describe a prediction-based framework to analyze omic data and generate models for both dise...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
<p>(<b>a</b>) The learned Bayesian network topology reveals regulatory relationships between transcr...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
Background. DNA microarrays measure the expression levels of tens of thousands of genes simultaneous...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...