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Mark Maher Ebeid

As seen in: BioRxiv
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Articles

Frustratingly easy domain adaptation for cross-species transcription factor binding prediction

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By Mark Maher Ebeid, Ali Balci, Maria Chikina, Panayiotis V. Benos
| BioRxiv
Abstract Motivation: Sequence-to-function models interpret genomic DNA and predict functional outputs, successfully characterizing regulatory sequence activity. However, interpreting these models remains challenging, raising questions about the generalizability of inferred sequence functions.
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An intrinsically interpretable neural network architecture for sequence to function learning

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By Ali Balci, Mark Maher Ebeid, Panayiotis V. Benos, Dennis Kostka
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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An intrinsically interpretable neural network architecture for sequence to function learning

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By Ali Balci, Panayiotis V. Benos, Dennis Kostka, Mark Maher Ebeid
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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