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SUMMARY:AI Center - AI for Health Series - Prof. Dr. Valentina Boeva\, ETH
 Z
DTSTART:20250115T130000
DTEND:20250115T140000
DTSTAMP:20260924T052359Z
UID:1a0b5dccf5f740f19d864db56f5da00968a5c642c2a0e6d24e521010
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr. Valentina Boeva\nHost: Dr. Dorina Thanou\n\nTitle\nH
 arnessing attention mechanisms to decode chromatin interactions in rare an
 d unexplored cell types\n \nAbstract\nChromatin interactions provide insi
 ghts into which DNA regulatory elements connect with specific genes\, info
 rming the activation or repression of gene expression. Understanding these
  interactions is crucial for assessing the role of non-coding mutations or
  changes in chromatin organization due to cell differentiation or disease.
  Hi-C and single-cell Hi-C experiments can reveal chromatin interactions\,
  but these methods are costly and labor-intensive. Here\, I will introduce
  our computational approach\, UniversalEPI\, an attention-based deep ensem
 ble model that predicts regulatory interactions in unseen cell types with 
 a receptive field of 2 million nucleotides\, relying solely on DNA sequenc
 e data and chromatin accessibility profiles. Demonstrating significantly
  better performance than state-of-the-art methods\, UniversalEPI\, with a
  much lighter architecture\, effectively predicts chromatin interactions a
 cross malignant and non-malignant cancer cell lines (Speaman’s Rho of > 
 0.9 on unseen cell types). This model represents a significant advancement
  in in-silico 3D chromatin modeling\, essential for exploring genetic vari
 ant impacts on diseases and monitoring chromatin architecture changes in o
 rganism development.\n \nBio\nProf. Dr. Valentina Boeva is a Tenure Track
  Assistant Professor at the Department of Computer Science\, ETH Zurich\, 
 where she leads the Computational Cancer Genomics Group. Her research focu
 ses on developing computational methods for multi-omics data integration t
 o understand the epigenetic and transcriptional plasticity of cancer cells
 . Before joining ETH Zurich in 2019\, Prof. Boeva led the Computational Ep
 igenetics of Cancer laboratory at Inserm's Cochin Institute in Paris. She 
 holds a Ph.D. in Bioengineering and Bioinformatics from Lomonosov Moscow S
 tate University. Throughout her career\, Prof. Boeva has made contribution
 s to the field of computational cancer genomics with developing methods fo
 r the analysis of DNA sequencing data\, bulk and single-cell transcriptomi
 cs and epigenomics data\, and\, recently\, spatial transcriptomics and pro
 teomics.
LOCATION:ELE 117 https://plan.epfl.ch/?room==ELE%20117 https://epfl.zoom.u
 s/j/66865641619?pwd=tzm9TwkmlAgYsATiAzvbi3FbIdGfLo.1
STATUS:CONFIRMED
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