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Meta-analysis of incomplete microarray studies

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ABC Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis

This paper introduces a simple, general framework for likelihood-free Bayesian reinforcement learning, through Approximate Bayesian Computation (ABC). The main advantage is that we only require a prior distribution on a class of simulators (generative mode ...

2013

ChIPnorm: a statistical method for normalizing and identifying differential regions in histone modification ChIP-seq libraries

Bernard Moret, Philipp Bucher, Nishanth Ulhas Nair

The advent of high-throughput technologies such as ChIP-seq has made possible the study of histone modifications. A problem of particular interest is the identification of regions of the genome where different cell types from the same organism exhibit diff ...

Public Library of Science2012

Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count method

Kjell Konis

In the forensic examination of DNA mixtures, the question of how to set the total number of contributors (N) presents a topic of ongoing interest. Part of the discussion gravitates around issues of bias, in particular when assessments of the number of cont ...

Elsevier2012

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We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by conside ...

Public Library of Science2011

R6/2 transgenic mice with expanded CAG repeats (> 300) have a surprisingly prolonged disease progression and longer lifespan than prototypical parent R6/2 mice (carrying 150 CAGs); however, the mechanism of this phenotype amelioration is unknown. We compar ...

Elsevier2011

Prediction of Survival and Risk Assessment Using Joint Analysis of Microarray Gene Expression Data

Haleh Yasrebi

Gene expression profiles have been widely used in molecular classification, diagnosis and prediction, particularly in the area of oncology where accurate and early diagnosis is needed for appropriate treatment. Avoiding under-/over-treatment when it is not ...

EPFL2010

Gene expression profiling in cells with enhanced gamma-secretase activity

Alexandra Marie-Isabelle Karoline Brigitte Magold, Patrick Fraering

BACKGROUND: Processing by gamma-secretase of many type-I membrane protein substrates triggers signaling cascades by releasing intracellular domains (ICDs) that, following nuclear translocation, modulate the transcription of different genes regulating a div ...

Public Library of Science2009

A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria

Fabio Nobile

This work describes a solution to the validation challenge problem posed at the SANDIA Validation Challenge Workshop, May 21-23, 2006, NM. It presents and applies a general methodology to it. The solution entails several standard steps, namely selecting an ...

2008

BACKGROUND: In the field of neuroscience microarray gene expression profiles on anatomically defined brain structures are being used increasingly to study both normal brain functions as well as pathological states. Fluorescent tracing techniques in brain t ...

Public Library of Science2008

Gene expression analysis of metastases and tumor host interactions in metastatic lesions in a multistage model of prostate carcinogenesis

Metastasis is a multistep process that represents the final stage in cancer progression and heralds a terminal disease state. Understanding the molecular changes required for the establishment of metastases that are common or specific to a particular locat ...

2008