Trajectory Inference in Single Cell Data

The Harvard Chan Bioinformatics Core in partnership with The Cancer Data Sciences Program at DF/HCC are very excited to present the Fall seminar series: Novel Applications in Single Cell Omics Ligand receptor analysis in a spatial context November 7th Sizun Jiang, PhD Beth Israel Deaconess Medical Center Harvard Medical School Martin Hemberg, PhD and Jingyi […]

2024 DF/HCC Celebration of Early Career Investigators in Cancer Research

Early career investigators are a unique reservoir of new ideas, innovation, and excellence in cancer research. To celebrate this, we welcome you to join the 12th Annual DF/HCC Celebration of Early Investigators in Cancer Research. This symposium will showcase the talent of early career investigators at the Dana-Farber/Harvard Cancer Center (DF/HCC) who work in several […]

Spatial Transcriptomics Deconvolution Analysis

The Harvard Chan Bioinformatics Core in partnership with The Cancer Data Sciences Program at DF/HCC are very excited to present the Fall seminar series: Novel Applications in Single Cell Omics Ligand receptor analysis in a spatial context November 7th Sizun Jiang, PhD Beth Israel Deaconess Medical Center Harvard Medical School Martin Hemberg, PhD and Jingyi […]

Choosing Good Subsamples for Regression Modelling: Nearly-True Models?

Harvard Biostatistics Colloquium Series Thursday February 6th 4:00-5:00PM Harvard TH Chan School of Public Health, FXB G12 Thomas Lumley, PhD, Chair in Biostatistics, University of Aukland, New Zealand; Affiliate Professor, University of Washington, Department of Biostatistics

Current Methods in Single Cell FFPE Analysis

CompBio Connections February 19, 2025 at 12pm DFCI Center for Life Science Building, Zelen Commons Anthony Anselmo Lead Bioinformatician Center for Cancer Genomics, DFCI Lunch is provided.

Single-cell Multi-sample Multi-condition Data Integration to Uncover Disease Signatures

Harvard TH Chan School of Public Health, FXB G13 677 Huntington Ave, Boston, MA, United States

HSPH Biostatistics and DFCI Data Science Colloquium Thursday February 27th at 4pm HSPH FXB Room G13 Yingxin Lin, PhD Postdoctoral Associate in the Department of Biostatistics at the Yale School of Public Health The recent emergence of multi-sample multi-condition single-cell multi cohort studies allows researchers to investigate different cell states. The effective integration of multiple […]

How Do Neural Networks Learn Features From Data?

Harvard TH Chan School of Public Health 677 Huntington Ave, Boston, MA

HSPH Biostatistics and DFCI Data Science Colloquium Monday March 3rd at 4:00pm HSPH Kresge G2 Adityanarayanan Radhakrishnan Eric and Wendy Schmidt Center Postdoctoral Fellow, Broad Institute of MIT and Harvard, Harvard School of Engineering and Applied Sciences Abstract: Understanding how neural networks learn features, or relevant patterns in data, is key to accelerating scientific discovery. […]