Lorenzo Ruggeri - Profile and Journalist Details
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International Editor, Gambero Rosso
Rome
Beats
Alcohol destination travel human special interest pieces.
books, publishing, bitcoin / crypto, crowdfunding
Content
Benchmarking PWM and SVM-based Models for Transcription Factor Binding Site Prediction: A Comparative Analysis on Synthetic and Biological Data
By Manuel Tognon, Andrea Betti, Lorenzo Ruggeri, Alisa Kumbara| bioRxiv@ AbstractTranscription Factors (TFs) are essential regulatory proteins that control the cellular transcriptional states by binding to specific DNA sequences known as Transcription Factor Binding Sites (TFBSs) or motifs. Accurate TFBS identification is crucial for unraveling regulatory mechanisms driving cellular dynamics. Over the years, various computational approaches have been developed to model TFBSs, with Position Weight Matrices (PWMs) being one of the most widely adopted methods
By Lorenzo Ruggeri| Medium@ Lorenzo Ruggeri·Follow7 min read·--DALL-E illustration for the title of the articleTranscription factors (TFs) play a crucial role in gene regulation by binding to specific DNA sequences known as transcription factor binding sites (TFBS). Accurately identifying these sites is essential for understanding gene expression and its impact on cellular functions
Company Info
Gambero Rosso
Rome, Italy
+39 39 655 1121
Founded: 1986