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Altuna Akalin

Showing results (1-10 of 84) with videos related to

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F1000Research|July 20, 2018
netSmooth: Network-smoothing based imputation for single cell RNA-seqJonathan Ronen, Altuna Akalin
Life Science Alliance|December 4, 2019
Evaluation of colorectal cancer subtypes and cell lines using deep learningJonathan Ronen, Sikander Hayat, Altuna Akalin
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|March 21, 2007
Predicting the binding affinity of MHC class II peptidesFatih Altiparmak, Altuna Akalin, Hakan Ferhatosmanoglu
BMC Bioinformatics|February 4, 2010
Translog, a web browser for studying the expression divergence of homologous genesXianjun Dong, Altuna Akalin, Yogita Sharma, et al.
NPJ Digital Medicine|May 5, 2025
Enhancing biomarker based oncology trial matching using large language modelsNour Alkhoury, Maqsood Shaik, Ricardo Wurmus, et al.
Nature Communications|July 15, 2020
Deep learning for genomics using JangguWolfgang Kopp, Remo Monti, Annalaura Tamburrini, et al.
Plos One|February 21, 2025
Leveraging large language models for data analysis automationJacqueline A Jansen, Artür Manukyan, Nour Al Khoury, et al.
BMC Bioinformatics|August 6, 2024
scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing dataYunhee Jeong, Jonathan Ronen, Wolfgang Kopp, et al.
Bioinformatics (Oxford, England)|November 24, 2014
Genomation: a toolkit to summarize, annotate and visualize genomic intervalsAltuna Akalin, Vedran Franke, Kristian Vlahoviček, et al.
Cancers|November 26, 2022
Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response PredictionArtem Baranovskii, Irem B Gündüz, Vedran Franke, et al.
Pageof 9

Showing results (1-10 of 84) with videos related to

Sort By:
Pageof 9
F1000Research|July 20, 2018
netSmooth: Network-smoothing based imputation for single cell RNA-seqJonathan Ronen, Altuna Akalin
Life Science Alliance|December 4, 2019
Evaluation of colorectal cancer subtypes and cell lines using deep learningJonathan Ronen, Sikander Hayat, Altuna Akalin
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|March 21, 2007
Predicting the binding affinity of MHC class II peptidesFatih Altiparmak, Altuna Akalin, Hakan Ferhatosmanoglu
BMC Bioinformatics|February 4, 2010
Translog, a web browser for studying the expression divergence of homologous genesXianjun Dong, Altuna Akalin, Yogita Sharma, et al.
NPJ Digital Medicine|May 5, 2025
Enhancing biomarker based oncology trial matching using large language modelsNour Alkhoury, Maqsood Shaik, Ricardo Wurmus, et al.
Nature Communications|July 15, 2020
Deep learning for genomics using JangguWolfgang Kopp, Remo Monti, Annalaura Tamburrini, et al.
Plos One|February 21, 2025
Leveraging large language models for data analysis automationJacqueline A Jansen, Artür Manukyan, Nour Al Khoury, et al.
BMC Bioinformatics|August 6, 2024
scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing dataYunhee Jeong, Jonathan Ronen, Wolfgang Kopp, et al.
Bioinformatics (Oxford, England)|November 24, 2014
Genomation: a toolkit to summarize, annotate and visualize genomic intervalsAltuna Akalin, Vedran Franke, Kristian Vlahoviček, et al.
Cancers|November 26, 2022
Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response PredictionArtem Baranovskii, Irem B Gündüz, Vedran Franke, et al.
Pageof 9