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Max Schubach

Showing results (1-10 of 35) with videos related to

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Gigascience|April 21, 2023
The Regulatory Mendelian Mutation score for GRCh38Max Schubach, Lusiné Nazaretyan, Martin Kircher
Plos One|December 1, 2020
The impact of different negative training data on regulatory sequence predictionsLouisa-Marie Krützfeldt, Max Schubach, Martin Kircher
BMC Bioinformatics|February 4, 2010
Short clones or long clones? A simulation study on the use of paired reads in metagenomicsSuparna Mitra, Max Schubach, Daniel H Huson
Genome Medicine|February 23, 2021
CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scoresPhilipp Rentzsch, Max Schubach, Jay Shendure, et al.
BMC Bioinformatics|October 14, 2017
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methodsMarco Notaro, Max Schubach, Peter N Robinson, et al.
Scientific Reports|June 9, 2017
Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding VariantsMax Schubach, Matteo Re, Peter N Robinson, et al.
Nucleic Acids Research|January 6, 2024
CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictionsMax Schubach, Thorben Maass, Lusiné Nazaretyan, et al.
Genome Medicine|December 15, 2016
Alternate-locus aware variant calling in whole genome sequencingMarten Jäger, Max Schubach, Tomasz Zemojtel, et al.
BMC Bioinformatics|February 13, 2025
Using individual barcodes to increase quantification power of massively parallel reporter assaysPia Keukeleire, Jonathan D Rosen, Angelina Göbel-Knapp, et al.
BMC Bioinformatics|December 12, 2022
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniquesLuca Cappelletti, Alessandro Petrini, Jessica Gliozzo, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Gigascience|April 21, 2023
The Regulatory Mendelian Mutation score for GRCh38Max Schubach, Lusiné Nazaretyan, Martin Kircher
Plos One|December 1, 2020
The impact of different negative training data on regulatory sequence predictionsLouisa-Marie Krützfeldt, Max Schubach, Martin Kircher
BMC Bioinformatics|February 4, 2010
Short clones or long clones? A simulation study on the use of paired reads in metagenomicsSuparna Mitra, Max Schubach, Daniel H Huson
Genome Medicine|February 23, 2021
CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scoresPhilipp Rentzsch, Max Schubach, Jay Shendure, et al.
BMC Bioinformatics|October 14, 2017
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methodsMarco Notaro, Max Schubach, Peter N Robinson, et al.
Scientific Reports|June 9, 2017
Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding VariantsMax Schubach, Matteo Re, Peter N Robinson, et al.
Nucleic Acids Research|January 6, 2024
CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictionsMax Schubach, Thorben Maass, Lusiné Nazaretyan, et al.
Genome Medicine|December 15, 2016
Alternate-locus aware variant calling in whole genome sequencingMarten Jäger, Max Schubach, Tomasz Zemojtel, et al.
BMC Bioinformatics|February 13, 2025
Using individual barcodes to increase quantification power of massively parallel reporter assaysPia Keukeleire, Jonathan D Rosen, Angelina Göbel-Knapp, et al.
BMC Bioinformatics|December 12, 2022
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniquesLuca Cappelletti, Alessandro Petrini, Jessica Gliozzo, et al.
Pageof 4