Janne Nikkilä

发表

Methods for interpreting a self-organized map in data analysis

Samuel Kaski, Teuvo Kohonen, Janne Nikkilä, 1998, ESANN.

Associative Clustering by Maximizing a Bayes Factor

Samuel Kaski, Janne Sinkkonen, Leo Lahti, 2003 .

Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering

Samuel Kaski, Christophe Roos, Janne Nikkilä, 2005, Int. J. Neural Syst..

Discriminative Clustering: Optimal Contingency Tables by Learning Metrics

Samuel Kaski, Janne Sinkkonen, Janne Nikkilä, 2002, ECML.

Multivariate multi-way analysis of multi-source data

Matej Oresic, Samuel Kaski, Ilkka Huopaniemi, 2010, Bioinform..

COMPUTATIONAL BIOLOGY AND BIOINFORMATICS

Cigdem Demir, Alexander Schliep, John Hawkins, 2005 .

Clustering Gene Expression Data by Mutual Information with Gene Function

Samuel Kaski, Janne Sinkkonen, Janne Nikkilä, 2001, ICANN.

Self-Supervised MRI Tissue Segmentation by Discriminative Clustering

Ricardo Vigário, Nicolau Gonçalves, Janne Nikkilä, 2014, Int. J. Neural Syst..

Metabolic Regulation in Progression to Autoimmune Diabetes

Matej Oresic, Samuel Kaski, Olli Simell, 2011, PLoS Comput. Biol..

Associative clustering for exploring dependencies between functional genomics data sets

Samuel Kaski, Janne Sinkkonen, Leo Lahti, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Exploring Dependencies Between Yeast Stress Genes and Their Regulators

Samuel Kaski, Christophe Roos, Janne Nikkilä, 2004, IDEAL.

Partial Clustering for Tissue Segmentation in MRI

Ricardo Vigário, Nicolau Gonçalves, Janne Nikkilä, 2008, ICONIP.

Two-way analysis of high-dimensional collinear data

Matej Oresic, Samuel Kaski, Ilkka Huopaniemi, 2009, Data Mining and Knowledge Discovery.

Integration of transcription factor binding and gene expression by associative clustering

Samuel Kaski, Christophe Roos, Janne Nikkilä, 2005 .

Two-Way Analysis of High-Dimensional Collinear Data

Matej Oresic, Samuel Kaski, Ilkka Huopaniemi, 2009, ECML/PKDD.

Analysis and visualization of gene expression data using Self-Organizing Maps

Jarkko Venna, Samuel Kaski, Petri Törönen, 2002, Neural Networks.

Associative Clustering

Samuel Kaski, Janne Sinkkonen, Leo Lahti, 2004, ECML.

Analysis of Gene Expression Data Using Semi-Supervised Clustering

Samuel Kaski, Janne Sinkkonen, Petri Törönen, 2001 .

Exploratory cluster analysis of genomic high-throughput data sets and their dependencies

Janne Nikkilä, 2005 .

Trustworthiness and metrics in visualizing similarity of gene expression

Jarkko Venna, Samuel Kaski, Petri Törönen, 2003, BMC Bioinformatics.

Learning Metrics for SOM-Based Clustering and Visualization of Yeast Gene Expression Data

Samuel Kaski, Petri Törönen, Janne Nikkilä, 2002 .

Methods for Exploratory Cluster Analysis

Samuel Kaski, Teuvo Kohonen, Janne Nikkilä, 2003, Intelligent Exploration of the Web.

Comparative analysis of fecal DNA extraction methods with phylogenetic microarray: effective recovery of bacterial and archaeal DNA using mechanical cell lysis.

Janne Nikkilä, Anne Salonen, W. D. de Vos, 2010, Journal of microbiological methods.

Gender-dependent progression of systemic metabolic states in early childhood

Olli Simell, Janne Nikkilä, Marko Sysi-Aho, 2008, Molecular systems biology.

Exploring the independence of gene regulatory modules

Antti Honkela, Samuel Kaski, Janne Nikkilä, 2006 .