R/Stats Office Hours
R/Stats Office Hours
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]
Events
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Calendar of Events
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Segment Anything in Python for Microscopy Data
Segment Anything in Python for Microscopy Data
The Image Analysis Collaboratory and Nikon Imaging Center are running a workshop: Segment Anything (SAM) in Python. SAM is a deep learning-based segmentation model introduced by researchers at Meta. Originally SAM was trained with natural images, however, since its publication multiple different domain-specific fine-tuned models have been published. In this workshop, we will focus on […]
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Introduction to the command-line interface
Introduction to the command-line interface
Bioinformatics requires computational resources that go beyond what your laptop has available. To access high performance computing resources, users need to have a working knowledge of the command line interface (CLI - also referred to as UNIX, bash, shell). Are you planning to analyze high-throughput sequencing data? Are you looking to perform computational tasks more efficiently? […]
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HMS Town Hall- AI for Protein Structure Prediction
HMS Town Hall- AI for Protein Structure Prediction
The Center for Computational Biomedicine (CCB) is hosting a town hall to discuss recent developments in artificial intelligence for protein structure prediction and its applications in biology and medicine. If you were able to attend, please share your feedback by submitting a survey. Recording now available! Topics Missense variant effect prediction with […]
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R/Stats Office Hours
R/Stats Office Hours
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]
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CCB Seminar Series: Image processing, visual analytics, and data sharing for whole-slide imaging and spatial profiling of tissues and tumors
CCB Seminar Series: Image processing, visual analytics, and data sharing for whole-slide imaging and spatial profiling of tissues and tumors
Speaker:Jeremy Muhlich Topic: Image processing, visual analytics, and data sharing for whole-slide imaging and spatial profiling of tissues and tumors When: Monday, March 11, 2024, 10 AM - 11 AM […]
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R/Stats Office Hours
R/Stats Office Hours
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]
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Deep Generative Models for the analysis of Large scale multimodal single-cell data.
Deep Generative Models for the analysis of Large scale multimodal single-cell data.
Location: In-Person at Countway L1-032 (Please note, New Location for this week and the New Zoom Link) Zoom, https://harvard.zoom.us/j/92093238424?pwd=eEdJSjA2WEczL1NvdnN0MysyM1JoQT09 Add to Calendar: https://drive.google.com/file/d/1E2iIsla_TzdTzS_3YLcj6gr-DHO-KP7v/view?usp=sharing Speaker: Mariana Gabitto, PhD Abstract: Since their inception, single-cell technologies have revolutionized biology, providing exciting opportunities to characterize cellular populations and track their changes with disease. These technologies enable the […]
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R/Stats Office Hours
R/Stats Office Hours
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]
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1 event,
R/Stats Office Hours
R/Stats Office Hours
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book a specific time slot by emailing Andrew Ghazi or are welcome to drop-in throughout the 2 hour session to ask for help using R or […]
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Interactive Workshop: Deep Learning Environments
Interactive Workshop: Deep Learning Environments
CCB is excited to announce an upcoming interactive workshop on Deep Learning Environments led by Phil Bowsher, the Director of Life Sciences and Healthcare at Posit (formerly RStudio). Registration is closed for this workshop. ---
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CANCELLED R/Stats Office Hours
CANCELLED R/Stats Office Hours
Office hours CANCELLED for Wednesday, April 3. CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS […]
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