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Matthias Lienhard

Showing results (1-10 of 29) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|March 24, 2016
Quantitative Comparison of Large-Scale DNA Enrichment Sequencing DataMatthias Lienhard, Lukas Chavez
Nature Protocols|September 9, 2016
Analyzing and interpreting genome data at the network level with ConsensusPathDBRalf Herwig, Christopher Hardt, Matthias Lienhard, et al.
Journal of Molecular Biology|February 28, 2025
IsoTools 2.0: Software for Comprehensive Analysis of Long-read Transcriptome Sequencing DataYalan Bi, Tom Lukas Lankenau, Matthias Lienhard, et al.
Frontiers in Bioscience (Landmark Edition)|June 24, 2022
Epirubicin Alters DNA Methylation Profiles Related to CardiotoxicityNhan Nguyen, Matthias Lienhard, Ralf Herwig, et al.
Bioinformatics (Oxford, England)|November 15, 2013
MEDIPS: genome-wide differential coverage analysis of sequencing data derived from DNA enrichment experimentsMatthias Lienhard, Christina Grimm, Markus Morkel, et al.
Nucleic Acids Research|June 13, 2014
ARH-seq: identification of differential splicing in RNA-seq dataAxel Rasche, Matthias Lienhard, Marie-Laure Yaspo, et al.
Journal of Translational Medicine|June 27, 2021
Large-scale literature mining to assess the relation between anti-cancer drugs and cancer typesChris Bauer, Ralf Herwig, Matthias Lienhard, et al.
Cancers|August 26, 2022
Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity PredictionPaul Prasse, Pascal Iversen, Matthias Lienhard, et al.
NAR Genomics and Bioinformatics|April 29, 2024
Cancer drug sensitivity estimation using modular deep Graph Neural NetworksPedro A Campana, Paul Prasse, Matthias Lienhard, et al.
NAR Genomics and Bioinformatics|January 20, 2022
Matching anticancer compounds and tumor cell lines by neural networks with ranking lossPaul Prasse, Pascal Iversen, Matthias Lienhard, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Methods in Molecular Biology (Clifton, N.J.)|March 24, 2016
Quantitative Comparison of Large-Scale DNA Enrichment Sequencing DataMatthias Lienhard, Lukas Chavez
Nature Protocols|September 9, 2016
Analyzing and interpreting genome data at the network level with ConsensusPathDBRalf Herwig, Christopher Hardt, Matthias Lienhard, et al.
Journal of Molecular Biology|February 28, 2025
IsoTools 2.0: Software for Comprehensive Analysis of Long-read Transcriptome Sequencing DataYalan Bi, Tom Lukas Lankenau, Matthias Lienhard, et al.
Frontiers in Bioscience (Landmark Edition)|June 24, 2022
Epirubicin Alters DNA Methylation Profiles Related to CardiotoxicityNhan Nguyen, Matthias Lienhard, Ralf Herwig, et al.
Bioinformatics (Oxford, England)|November 15, 2013
MEDIPS: genome-wide differential coverage analysis of sequencing data derived from DNA enrichment experimentsMatthias Lienhard, Christina Grimm, Markus Morkel, et al.
Nucleic Acids Research|June 13, 2014
ARH-seq: identification of differential splicing in RNA-seq dataAxel Rasche, Matthias Lienhard, Marie-Laure Yaspo, et al.
Journal of Translational Medicine|June 27, 2021
Large-scale literature mining to assess the relation between anti-cancer drugs and cancer typesChris Bauer, Ralf Herwig, Matthias Lienhard, et al.
Cancers|August 26, 2022
Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity PredictionPaul Prasse, Pascal Iversen, Matthias Lienhard, et al.
NAR Genomics and Bioinformatics|April 29, 2024
Cancer drug sensitivity estimation using modular deep Graph Neural NetworksPedro A Campana, Paul Prasse, Matthias Lienhard, et al.
NAR Genomics and Bioinformatics|January 20, 2022
Matching anticancer compounds and tumor cell lines by neural networks with ranking lossPaul Prasse, Pascal Iversen, Matthias Lienhard, et al.
Pageof 3