Id 73: Airiva: A Deep Generative Model Of Adaptive Immune Repertoires

ID 73: AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires

Machine Learning for Healthcare

AIRRC7 - Decoding the adaptive immune system using deep generative models (N. Prasad)

DLDTelAviv14 - Extreme Science pt.3 (Omri Amirav-Drory)

AIRRC5 - immuneML: machine learning on adaptive immune receptors – M. Pavlović, L. Scheffer

Eirini Sofia Fasouli, Early Stage Researcher - ARCH Project (English Version)

ARCHprojectMSCA

Ekaterina Sedykh - Antibody shape refinement using deep learning (Day 1)

AP Adaptive immunity 3

Founder Stories: Jacob Glanville, Understanding and Engineering Immune Repertoires

Disease Variant Prediction with Deep Generative Models of Evolutionary Data

AACR Workshop 2014_IPA-3_DiseasesAndFunctions

Michael Edwards (Bioinfo Solutions)

MIA: Umut Eser, Fiddle: integrative deep learning framework for genomics; Alex Wiltschko, Auto diff

Broad Institute

Molecular Modelling and Computational... - Shrivaishnavi Ranganathan - 3DSIG - Poster - ISMB 2022

ISCB

D-VITA Demo: Exploring and Building Dynamic Topic Models

ACIS Group, RWTH Aachen University

BIOL3530-Immunodeficiency

IgA deficiency drives microbiome dysregulation, increasing immune activation in CVID

AJE Video Bytes

Characterizing germline variation in adaptive immune receptor genes

the production of the fatty acid amino acid by E coli is an example of option are catabolism biosyn…