Paul H. C. Eilers

Details der Publikationsliste

Zeitraum

1996 - 2009

Anzahl

27

Co-Autoren

Smoothing waves in array CGH tumor profiles (2009)

Van De Wiel, Mark A., Brosens, Rebecca, Eilers, Paul H. C., Kumps, Candy, Meijer, Gerrit A., Menten, Björn, ...

Motivation: Many high-resolution array comparative genomic hybridization tumor profiles contain a wave bias, which makes accurate detection of breakpoints in such profiles more difficult. Results: An...

Bayesian density estimation from grouped continuous data (2009)

Lambert, Philippe, Eilers, Paul H.C.

Grouped data occur frequently in practice, either because of limited resolution of instruments, or because data have been summarized in relatively wide bins. A combination of the composite link model...

High-resolution copy number analysis of paraffin-embedded archival tissue using SNP BeadArrays (2007)

Oosting, Jan, Lips, Esther H., Van Eijk, Ronald, Eilers, Paul H.C., Szuhai, Károly, Wijmenga, Cisca, ...

High-density SNP microarrays provide insight into the genomic events that occur in diseases like cancer through their capability to measure both LOH and genomic copy numbers. Where currently...

Simple and multiple P-splines regression with shape constraints (2006)

Eilers, Paul H. C

In many research areas, especially within social and behavioural sciences, the relationship between predictor and criterion variables is often assumed to have a particular shape, such as monotone,...

Varying Coefficient Tensor Models for Brain Imaging (2005)

Eilers, Paul H. C., Heim, Susanne, Marx, Brian D.

We revisit a multidimensional varying-coefficient model (VCM), by allowing regressor coefficients to vary smoothly in more than one dimension, thereby extending the VCM of Hastie and Tibshirani. The...

Space-Varying Coefficient Models for Brain Imaging (2005)

Heim, Susanne, Fahrmeir, Ludwig, Eilers, Paul H. C., Marx, Brian D.

The methodological development and the application in this paper originate from diffusion tensor imaging (DTI), a powerful nuclear magnetic resonance technique enabling diagnosis and monitoring of...

Substantial changes in gene expression of Wnt, MAPK and TNF{alpha} pathways induced by TGF-{beta}1 in cervical cancer cell lines (2005)

Kloth, Judith N., Fleuren, Gert Jan, Oosting, Jan, De Menezes, Renee X., Eilers, Paul H.C., Kenter, Gemma G., ...

Transforming growth factor-beta 1 (TGF-β1) is a potent inhibitor of epithelial cell proliferation. During the development of cervical carcinoma however, an increase in production of TGF-β1 is...

Substantial changes in gene expression of Wnt, MAPK and TNF{alpha} pathways induced by TGF-{beta}1 in cervical cancer cell lines (2005)

Kloth, Judith N., Fleuren, Gert Jan, Oosting, Jan, De Menezes, Renee X., Eilers, Paul H. C., Kenter, Gemma G., ...

Transforming growth factor-beta 1 (TGF-ß1) is a potent inhibitor of epithelial cell proliferation. During the development of cervical carcinoma however, an increase in production of TGF-ß1 is...

Substantial changes in gene expression of Wnt, MAPK and TNF{alpha} pathways induced by TGF-{beta}1 in cervical cancer cell lines (2005)

Kloth, Judith N., Fleuren, Gert Jan, Oosting, Jan, De Menezes, Renee X., Eilers, Paul H. C., Kenter, Gemma G., ...

Transforming growth factor-beta 1 (TGF-ß1) is a potent inhibitor of epithelial cell proliferation. During the development of cervical carcinoma however, an increase in production of TGF-ß1 is...

Bayesian proportional hazards model with time varying regression coefficients: a penalized Poisson regression approach (2005)

Lambert, Philippe, Eilers, Paul H.C.

One can fruitfully approach survival problems without covariates in an actuarial way. In narrow time bins, the number of people at risk is counted together with the number of events. The relationship...

Enhancing scatterplots with smoothed densities (2004)

Eilers, Paul H. C., Goeman, Jelle J.

Motivation: Scatterplots of microarray data generally contain a very large number of dots, making it difficult to get a good impression of their distribution in dense areas. Results: We present a...

Quantile smoothing of array CGH data (2004)

Eilers, Paul H. C., De Menezes, Renée X.

Motivation: Plots of array Comparative Genomic Hybridization (CGH) data often show special patterns: stretches of constant level (copy number) with sharp jumps between them. There also can be much...

Enhancing scatterplots with smoothed densities (2004)

Eilers, Paul H. C., Goeman, Jelle J.

Motivation: Scatterplots of microarray data generally contain a very large number of dots, making it difficult to get a good impression of their distribution in dense areas. Results: We present a...

Enhancing scatterplots with smoothed densities (2004)

Eilers, Paul H. C., Goeman, Jelle J.

Motivation: Scatterplots of microarray data generally contain a very large number of dots, making it difficult to get a good impression of their distribution in dense areas. Results: We present a...

Quantile smoothing of array CGH data (2004)

Eilers, Paul H. C., De Menezes, Renée X.

Motivation: Plots of array Comparative Genomic Hybridization (CGH) data often show special patterns: stretches of constant level (copy number) with sharp jumps between them. There also can be much...

Flexible smoothing with B-splines and penalties (1996)

Eilers, Paul H. C., Marx, Brian D.

B-splines are attractive for nonparametric modelling, but choosing the optimal number and positions of knots is a complex task. Equidistant knots can be used, but their small and discrete number...

Heterogeneity of rhythmic suprachiasmatic nucleus neurons: Implications for circadian waveform and photoperiodic encoding

Schaap, Jeroen, Albus, Henk, VanderLeest, Henk Tjebbe, Eilers, Paul H. C., Détári, László, Meijer, Johanna H.

Circadian rhythms in neuronal ensemble, subpopulations, and single unit activity were recorded in the suprachiasmatic nuclei (SCN) of rat hypothalamic slices. Decomposition of the ensemble pattern...

Transposition Rates of Mycobacterium tuberculosis IS6110 Restriction Fragment Length Polymorphism Patterns

Eilers, Paul H. C., Van Soolingen, Dick, Thi Ngoc Lan, Nguyen, Warren, Rob M., Borgdorff, Martien W.

To determine the rate at which IS6110 restriction fragment length polymorphism (RFLP) patterns in Mycobacterium tuberculosis change over time, we applied a smooth nonparametric survival model to...

Heterogeneity of rhythmic suprachiasmatic nucleus neurons: Implications for circadian waveform and photoperiodic encoding

Schaap, Jeroen, Albus, Henk, VanderLeest, Henk Tjebbe, Eilers, Paul H. C., Détári, László, Meijer, Johanna H.

Circadian rhythms in neuronal ensemble, subpopulations, and single unit activity were recorded in the suprachiasmatic nuclei (SCN) of rat hypothalamic slices. Decomposition of the ensemble pattern...

Transposition Rates of Mycobacterium tuberculosis IS6110 Restriction Fragment Length Polymorphism Patterns

Eilers, Paul H. C., Van Soolingen, Dick, Thi Ngoc Lan, Nguyen, Warren, Rob M., Borgdorff, Martien W.

To determine the rate at which IS6110 restriction fragment length polymorphism (RFLP) patterns in Mycobacterium tuberculosis change over time, we applied a smooth nonparametric survival model to...

High-resolution copy number analysis of paraffin-embedded archival tissue using SNP BeadArrays

Oosting, Jan, Lips, Esther H., Van Eijk, Ronald, Eilers, Paul H.C., Szuhai, Károly, Wijmenga, Cisca, ...

High-density SNP microarrays provide insight into the genomic events that occur in diseases like cancer through their capability to measure both LOH and genomic copy numbers. Where currently...

Bayesian density estimation from grouped continuous data

Lambert, Philippe, Eilers, Paul H.C.

Grouped data occur frequently in practice, either because of limited resolution of instruments, or because data have been summarized in relatively wide bins. A combination of the composite link model...

Better biplots

Blasius, Jörg, Eilers, Paul H.C., Gower, John

The elements of a biplot are (i) a set of axes representing variables, usually concurrent at the centroid of (ii) a set of points representing samples or cases. The axes are (approximations to)...

Optimal expectile smoothing

Schnabel, Sabine K., Eilers, Paul H.C.

Quantiles are computed by optimizing an asymmetrically weighted L1 norm, i.e. the sum of absolute values of residuals. Expectiles are obtained in a similar way when using an L2 norm, i.e. the sum of...