Hinrich W H Göhlmann - JoVE Visualize

Showing results (1-10 of 21) with videos related to

Pageof 3

Sort By:

Assay and Drug Development Technologies|May 18, 2016

Transcriptional Characterization of Compounds: Lessons Learned from the Public LINCS DataHans De Wolf, An De Bondt, Heather Turner, et al.

Statistical Applications in Genetics and Molecular Biology|June 9, 2016

A joint modeling approach for uncovering associations between gene expression, bioactivity and chemical structure in early drug discovery to guide lead selection and genomic biomarker developmentNolen Perualila-Tan, Adetayo Kasim, Willem Talloen, et al.

Journal of Biopharmaceutical Statistics|December 30, 2011

Genomic biomarkers for a binary clinical outcome in early drug development microarray experimentsSuzy Van Sanden, Ziv Shkedy, Tomasz Burzykowski, et al.

Biotechniques|March 11, 2006

Analysis of Affymetrix GeneChip data using amplified RNALeslie Cope, Scott M Hartman, Hinrich W H Göhlmann, et al.

Journal of Bioinformatics and Computational Biology|June 18, 2016

Weighted similarity-based clustering of chemical structures and bioactivity data in early drug discoveryNolen Joy Perualila-Tan, Ziv Shkedy, Willem Talloen, et al.

Bioinformatics (Oxford, England)|October 9, 2007

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray dataWillem Talloen, Djork-Arné Clevert, Sepp Hochreiter, et al.

Bioinformatics (Oxford, England)|September 26, 2007

The high-level similarity of some disparate gene expression measuresNandini Raghavan, An M I M De Bondt, Willem Talloen, et al.

Statistical Applications in Genetics and Molecular Biology|April 14, 2012

Gene filtering in the analysis of Illumina microarray experimentsAnyiawung Chiara Forcheh, Geert Verbeke, Adetayo Kasim, et al.

Drug Discovery Today|January 14, 2015

Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR projectBie Verbist, Günter Klambauer, Liesbet Vervoort, et al.

Statistical Applications in Genetics and Molecular Biology|December 7, 2007

Testing for trends in dose-response microarray experiments: a comparison of several testing procedures, multiplicity and resampling-based inferenceDan Lin, Ziv Shkedy, Dani Yekutieli, et al.

Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:

Pageof 3

Assay and Drug Development Technologies|May 18, 2016

Transcriptional Characterization of Compounds: Lessons Learned from the Public LINCS DataHans De Wolf, An De Bondt, Heather Turner, et al.

Statistical Applications in Genetics and Molecular Biology|June 9, 2016

A joint modeling approach for uncovering associations between gene expression, bioactivity and chemical structure in early drug discovery to guide lead selection and genomic biomarker developmentNolen Perualila-Tan, Adetayo Kasim, Willem Talloen, et al.

Journal of Biopharmaceutical Statistics|December 30, 2011

Genomic biomarkers for a binary clinical outcome in early drug development microarray experimentsSuzy Van Sanden, Ziv Shkedy, Tomasz Burzykowski, et al.

Biotechniques|March 11, 2006

Analysis of Affymetrix GeneChip data using amplified RNALeslie Cope, Scott M Hartman, Hinrich W H Göhlmann, et al.

Journal of Bioinformatics and Computational Biology|June 18, 2016

Weighted similarity-based clustering of chemical structures and bioactivity data in early drug discoveryNolen Joy Perualila-Tan, Ziv Shkedy, Willem Talloen, et al.

Bioinformatics (Oxford, England)|October 9, 2007

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray dataWillem Talloen, Djork-Arné Clevert, Sepp Hochreiter, et al.

Bioinformatics (Oxford, England)|September 26, 2007

The high-level similarity of some disparate gene expression measuresNandini Raghavan, An M I M De Bondt, Willem Talloen, et al.

Statistical Applications in Genetics and Molecular Biology|April 14, 2012

Gene filtering in the analysis of Illumina microarray experimentsAnyiawung Chiara Forcheh, Geert Verbeke, Adetayo Kasim, et al.

Drug Discovery Today|January 14, 2015

Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR projectBie Verbist, Günter Klambauer, Liesbet Vervoort, et al.

Statistical Applications in Genetics and Molecular Biology|December 7, 2007

Testing for trends in dose-response microarray experiments: a comparison of several testing procedures, multiplicity and resampling-based inferenceDan Lin, Ziv Shkedy, Dani Yekutieli, et al.

Pageof 3