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Event


Machine learning driven design of omics combinatorial biomarkers & New insights into material intake by photoreceptors

CMCB PhD seminar

Date:30.11.2018, 16:00 - 17:00
Speaker: Dr. Carlo V. Cannistraci, Claudio Durán C. (Predoc), Prof. Dr. Marius Ader, Sílvia Llonch (Predoc)
Location: CRTD, auditorium left
Host: Dr. Carlo V. Cannistraci, Prof. Dr. Marius Ader

Speakers: Carlo V. Cannistraci, Claudio Durán C. (Predoc)
Title: Machine learning driven design of omics combinatorial biomarkers

Abstract
The design of biomarkers is an important step towards personalized medicine, helping with precision prognosis, diagnosis and evaluation of therapy response.  The recent development of High-Throughput-Sequencing technologies is triggering a revolution in omics sciences offering a huge amount of detailed information for personalized and precision medicine. Here, we present an automatic biomarker design algorithm that employs PC-corr algorithm, which is a PCA-based machine learning technique for discovery of discriminative correlation networks.

Speakers: Marius Ader, Sílvia Llonch (Predoc)
Title: New insights into material intake by photoreceptors


Abstract
Retinal degeneration diseases represent the main cause of vision impairment in industrialized countries. A potential therapeutic approach to restore the lost visual function is photoreceptor transplantation. In this approach, healthy donor photoreceptors are transplanted into dysfunctional and/or degenerated retinas aiming to reinstate retinal function. Recently, we observed that upon transplantation, donor photoreceptors engage in cytoplasmic material exchange with remaining host photoreceptors, rather than incorporating into host retinas, as was previously assumed. Recent insights into material transfer between photoreceptors will be discussed, including the cell-types and cellular structures involved in this process and what kind of cytoplasmic material is exchanged.

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