4.3 Review

Cumulative disease progression models for cross-sectional data: A review and comparison

Related references

Note: Only part of the references are listed.
Article Biochemistry & Molecular Biology

Learning Monotonic Genotype-Phenotype Maps

Niko Beerenwinkel et al.

STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2011)

Article Biochemical Research Methods

Quantifying cancer progression with conjunctive Bayesian networks

Moritz Gerstung et al.

BIOINFORMATICS (2009)

Article Biology

Markov models for accumulating mutations

N. Beerenwinkel et al.

BIOMETRIKA (2009)

Article Biochemical Research Methods

Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores

Jasmina Bogojeska et al.

BIOINFORMATICS (2008)

Article Statistics & Probability

Conjunctive Bayesian networks

Niko Beerenwinkel et al.

BERNOULLI (2007)

Article Biochemical Research Methods

New Probabilistic network models and algorithms for oncogenesis

Marcus Hjelm et al.

JOURNAL OF COMPUTATIONAL BIOLOGY (2006)

Article Biochemical Research Methods

Learning multiple evolutionary pathways from cross-sectional data

N Beerenwinkel et al.

JOURNAL OF COMPUTATIONAL BIOLOGY (2005)

Article Mathematical & Computational Biology

Maximum likelihood estimation of oncogenetic tree models

A Von Heydebreck et al.

BIOSTATISTICS (2004)

Article Biology

Estimating an oncogenetic tree when false negatives and positives are present

A Szabo et al.

MATHEMATICAL BIOSCIENCES (2002)

Article Biology

Graph models of oncogenesis with an application to melanoma

MD Radmacher et al.

JOURNAL OF THEORETICAL BIOLOGY (2001)

Article Biochemical Research Methods

Distance-based reconstruction of tree models for oncogenesis

R Desper et al.

JOURNAL OF COMPUTATIONAL BIOLOGY (2000)