CCB Seminar: Principled and interpretable alignability testing and integration of single cell data

Introduction to Cellenics: a User-Friendly Web Application for Analyzing Single Cell RNA-seq Data

To Transformers and Beyond Large Language Models for the Genome

From Harvard Lab to Global Enterprises: The Journey of Stochastic's Personalized AI

CCB Seminar- Deep Generative Models for the Analysis of Large Scale Multimodal Single-Cell Data

Image processing, visual analytics, and data sharing for whole-slide imaging

Instrumenting the Healthcare Enterprise for Discovery Research.

Using high content analysis and deep learning to make the most of your microscopy

Therapy-associated remodeling of pancreatic cancer

Identifying protein crystals using machine learning: a leap in precision and efficiency

Principles and challenges in single-cell data integration

SpatialData: an open and universal data framework for spatial omics

Collaborative Informatics in Surgery: Infusing Algorithms with Surgeon Knowledge

StabMap: Mosaic single cell data integration using non-overlapping features

Biomedical Semantic Similarity for Humans and Machines

The New Web Portal for HMS’ O2 Cluster

Cloud Computing at HMS-DBMI

Human Reference Atlas Construction and Usage

Semantic Similarity and Machine Learning with Ontologies

Filling in the Gaps: CCB’s Role in Quantitative Education at HMS

Open Computational eCosystems for Modern Genomics

A Scalable, Modular Image-processing Pipeline for Multiplexed Tissue Imaging

Transformation and Preprocessing of Single-Cell RNA-Seq Data

Squidpy: A Scalable Framework for Spatial Omics Analysis

Visualization and Analysis of Highly Multiplexed Imaging Data

The Human Body at Cellular Resolution: the NIH Human Biomolecular Atlas Program

Curated Single Cell Multimodal Landmark Datasets for R/Bioconductor

Leveraging the Cell Ontology to Classify Unseen Cell Types

AlphaFold Townhall

Open SSSOM – Unlocking the wealth of biomedical data using shared standardized entity mappings