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Uwe Ohler

Showing results (1-10 of 141) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|September 19, 2013
Using machine learning to identify disease-relevant regulatory RNAsUwe Ohler
Nucleic Acids Research|October 28, 2006
Identification of core promoter modules in Drosophila and their application in accurate transcription start site predictionUwe Ohler
Trends in Genetics : TIG|September 10, 2017
Beyond Read-Counts: Ribo-seq Data Analysis to Understand the Functions of the TranscriptomeLorenzo Calviello, Uwe Ohler
Plos Computational Biology|January 30, 2008
Strategies for identifying RNA splicing regulatory motifs and predicting alternative splicing eventsDirk Holste, Uwe Ohler
Nucleic Acids Research|June 6, 2024
Liam tackles complex multimodal single-cell data integration challengesPia Rautenstrauch, Uwe Ohler
Genome Biology|May 6, 2010
Mapping the complexity of transcription control in higher eukaryotesPavel Tomancak, Uwe Ohler
Genome Research|January 30, 2020
Deep neural networks for interpreting RNA-binding protein target preferencesMahsa Ghanbari, Uwe Ohler
Annual Review of Biomedical Data Science|June 1, 2023
Toward Identification of Functional Sequences and Variants in Noncoding DNARemo Monti, Uwe Ohler
Nature Biotechnology|July 30, 2025
Shortcomings of silhouette in single-cell integration benchmarkingPia Rautenstrauch, Uwe Ohler
Plos Computational Biology|December 29, 2010
Modeling the evolution of regulatory elements by simultaneous detection and alignment with phylogenetic pair HMMsWilliam H Majoros, Uwe Ohler
Pageof 15

Showing results (1-10 of 141) with videos related to

Sort By:
Pageof 15
Proceedings of the National Academy of Sciences of the United States of America|September 19, 2013
Using machine learning to identify disease-relevant regulatory RNAsUwe Ohler
Nucleic Acids Research|October 28, 2006
Identification of core promoter modules in Drosophila and their application in accurate transcription start site predictionUwe Ohler
Trends in Genetics : TIG|September 10, 2017
Beyond Read-Counts: Ribo-seq Data Analysis to Understand the Functions of the TranscriptomeLorenzo Calviello, Uwe Ohler
Plos Computational Biology|January 30, 2008
Strategies for identifying RNA splicing regulatory motifs and predicting alternative splicing eventsDirk Holste, Uwe Ohler
Nucleic Acids Research|June 6, 2024
Liam tackles complex multimodal single-cell data integration challengesPia Rautenstrauch, Uwe Ohler
Genome Biology|May 6, 2010
Mapping the complexity of transcription control in higher eukaryotesPavel Tomancak, Uwe Ohler
Genome Research|January 30, 2020
Deep neural networks for interpreting RNA-binding protein target preferencesMahsa Ghanbari, Uwe Ohler
Annual Review of Biomedical Data Science|June 1, 2023
Toward Identification of Functional Sequences and Variants in Noncoding DNARemo Monti, Uwe Ohler
Nature Biotechnology|July 30, 2025
Shortcomings of silhouette in single-cell integration benchmarkingPia Rautenstrauch, Uwe Ohler
Plos Computational Biology|December 29, 2010
Modeling the evolution of regulatory elements by simultaneous detection and alignment with phylogenetic pair HMMsWilliam H Majoros, Uwe Ohler
Pageof 15