Sparsity, Epistasis, and Models of Fitness Functions - Leveraging Interactions in Protein Function Prediction
Explore sparsity in epistatic interactions to enhance fitness function modeling. Learn about Walsh-Hadamard transform, Graph Fourier transforms, and Epistatic Net for improved protein function prediction.
GRN-Guided Simulation of Single-Cell RNA-Seq and Primer on Causal GANs
Explore GRouNdGAN for simulating single-cell RNA-seq data and learn about CausalGANs for gene regulatory network analysis and in-silico perturbation experiments.
Meaningful Signals Within Deep Learning Models for Biology - Primer and Meeting
Explore deep learning models in biology, from curating meaningful pre-training data to disentangling experimental noise, enhancing performance in biomedical imaging and high-throughput microscopy experiments.
Building a Mind for Cancer
Explore innovative approaches to understanding cancer through AI and machine learning with Trey Ideker's insightful presentation on building a computational mind for cancer research.
Foundation Models for Therapeutic Design and Treatment Prediction
Explore foundation models for therapeutic design and treatment prediction, focusing on novel insights in biomedical research and machine learning advancements.
Harmonization of Deeply Sequenced Genomes - MPG Primer 2023
Explore genome harmonization techniques for deeply sequenced data, covering quality control, structural variants, and PCA analysis using cloud computing.
The Challenges of Training Infinitely Large Neural Networks
Explore challenges in training infinitely large neural networks with Mikhail Belkin. Gain insights into foundational advances in machine learning for biomedical applications.
Integrating Patient Level Multi-omics Data Using Deep Learning Models
Explore deep learning models for integrating patient-level multi-omics data, focusing on supervised and unsupervised approaches for predicting outcomes and uncovering latent representations in genomics.
Deep Learning for Genomic Discovery
Explore deep learning techniques for genomic discovery, focusing on high-resolution assays, footprint shapes, and bias correction methods in neural networks.
Inferring Single Cell Profiles from Histology and Generating Omics Data from Images
Explore cutting-edge machine learning techniques for inferring single-cell profiles from histology images and generating omics data from various imaging modalities, bridging the gap between imaging and genomics.
Time Series Machine Learning for Deployment in Healthcare
Explore time series machine learning applications in healthcare, focusing on ICU data analysis, explainability tools, and real-time evaluation for improved patient outcomes.
Machine Learning-Based Protein Engineering - Some Thoughts
Explore machine learning applications in protein engineering with Jennifer Listgarten. Gain insights into cutting-edge techniques and their impact on biomedical research.
Multi-omics Variational Autoencoding - Deep Dive and Primer
Explore multi-omics variational autoencoding for integrating complex biological datasets. Learn about MOVE pipeline, data preprocessing, model optimization, and approaches for determining associations between omics variables and categorical labels.
Charting a Course to a Bright Future: Optimism in Circular Economies
Explore Troy Swope's vision for circular economies, emphasizing optimism as a catalyst for environmental progress. Learn from historical successes and corporate commitments to inspire immediate action against climate change.
Digital Innovation for Climate Action
Explore digital innovation's role in climate action, focusing on tech integration, policy, and entrepreneurship for sustainable development. Learn from case studies and industry challenges.
Building a CML Pipeline with Spark and Kafka - YOW! 2018
Explore building a CML pipeline using Apache Spark and Kafka. Learn functional programming techniques for efficient data processing and machine learning workflows.
Computation as Semigroups, Computing Semigroups
Explore the intersection of semigroups, computation, and functional programming. Gain insights into mathematical foundations of software engineering from a unique perspective.
Continuous Verification: Beyond Chaos Engineering
Explore continuous verification as a new discipline for sensitizing teams to system safety boundaries in complex socio-technical ecosystems. Learn to anticipate and prevent gradual system failures.
Exo: Run Your Own AI Cluster at Home
Créez un cluster IA domestique avec exo, unifiant la puissance de calcul de vos appareils pour exécuter des modèles sophistiqués sans matériel coûteux.
Model Mitosis - A Dynamic Approach to Software Modularization
Discover a dynamic approach to modularize software, avoiding monolithic spaghetti code and premature microservices. Learn when and how to split business models for optimal flexibility and scalability.
Supercharge Your Java Applications with Python
Enhance Java apps with Python using GraalPy. Explore embedding Python in Java, integrating AI libraries, and leveraging multi-language capabilities for data science and machine learning.