Media Summary: Bioinfocongress IV kapsamında 19 Mart tarihinde gerçekleştirilen etkinlikte Assoc. Prof. Dr. Serdar Bozdağ hocamızın 'Integrating ... Models, Inference and Algorithms March 8, 2023 Broad Institute of MIT and Harvard Meeting: This presentation illustrates the impact of a

Multi Omic Representation Learning Through - Detailed Analysis & Overview

Bioinfocongress IV kapsamında 19 Mart tarihinde gerçekleştirilen etkinlikte Assoc. Prof. Dr. Serdar Bozdağ hocamızın 'Integrating ... Models, Inference and Algorithms March 8, 2023 Broad Institute of MIT and Harvard Meeting: This presentation illustrates the impact of a researchatnecstlab - On Friday, May 22, 2026, we had a new talk for the series . Nikolay Oskolkov is a bioinformatician at Lund University, Sweden, and at the Science for Life Laboratory (SciLifeLab). He got his ...

Photo Gallery

Assoc. Prof. Dr. Serdar Bozdağ | Integrating Multi-Omics Dataset Using Graph Representation Learning
Multi-Omic Representation Learning through Self-Supervised Graph Machine Learning
MedAI #56: Fundamentals of Multimodal Representation Learning | Paul Pu Liang
Lec 13. Representation Learning: Theory
Intro to Multiomics
Lec 12. Representation Learning: Similarity-Based
Graph Representation Learning (Stanford university)
MIA: Ricardo Hernandez Medina, Multi-omics variational autoencoding; Primer by Simon Rasmussen
Lec 15. Generative Models: Representation Learning Meets Generative Modeling
Multi-Omics and Bioinformatics in Cell Culture Media Design
Lec 11. Representation Learning: Reconstruction-Based
NFT @ 22052026: A Graph Machine Learning Approach for Multi-Omics Representation Learning
View Detailed Profile
Assoc. Prof. Dr. Serdar Bozdağ | Integrating Multi-Omics Dataset Using Graph Representation Learning

Assoc. Prof. Dr. Serdar Bozdağ | Integrating Multi-Omics Dataset Using Graph Representation Learning

Bioinfocongress IV kapsamında 19 Mart tarihinde gerçekleştirilen etkinlikte Assoc. Prof. Dr. Serdar Bozdağ hocamızın 'Integrating ...

Multi-Omic Representation Learning through Self-Supervised Graph Machine Learning

Multi-Omic Representation Learning through Self-Supervised Graph Machine Learning

Advances

MedAI #56: Fundamentals of Multimodal Representation Learning | Paul Pu Liang

MedAI #56: Fundamentals of Multimodal Representation Learning | Paul Pu Liang

Title: Fundamentals of Multimodal

Lec 13. Representation Learning: Theory

Lec 13. Representation Learning: Theory

MIT 6.7960

Intro to Multiomics

Intro to Multiomics

Welcome to Intro to

Lec 12. Representation Learning: Similarity-Based

Lec 12. Representation Learning: Similarity-Based

MIT 6.7960

Graph Representation Learning (Stanford university)

Graph Representation Learning (Stanford university)

Slide link: http://snap.stanford.edu/class/cs224w-2018/handouts/09-node2vec.pdf.

MIA: Ricardo Hernandez Medina, Multi-omics variational autoencoding; Primer by Simon Rasmussen

MIA: Ricardo Hernandez Medina, Multi-omics variational autoencoding; Primer by Simon Rasmussen

Models, Inference and Algorithms March 8, 2023 Broad Institute of MIT and Harvard Meeting:

Lec 15. Generative Models: Representation Learning Meets Generative Modeling

Lec 15. Generative Models: Representation Learning Meets Generative Modeling

MIT 6.7960

Multi-Omics and Bioinformatics in Cell Culture Media Design

Multi-Omics and Bioinformatics in Cell Culture Media Design

This presentation illustrates the impact of a

Lec 11. Representation Learning: Reconstruction-Based

Lec 11. Representation Learning: Reconstruction-Based

MIT 6.7960

NFT @ 22052026: A Graph Machine Learning Approach for Multi-Omics Representation Learning

NFT @ 22052026: A Graph Machine Learning Approach for Multi-Omics Representation Learning

researchatnecstlab - #NECSTFridayTalk On Friday, May 22, 2026, we had a new talk for the series #NECSTFridayTalk.

Machine Learning View of Multi-Omics Data Integration

Machine Learning View of Multi-Omics Data Integration

Nikolay Oskolkov is a bioinformatician at Lund University, Sweden, and at the Science for Life Laboratory (SciLifeLab). He got his ...