R Introduction to Deep Learning is a 2-part series that runs from 10am-1pm each day: Tuesday, March 29 Thursday, March 31 This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning […]
R Introduction to Deep Learning is a 2-part series that runs from 10am-1pm each day: Tuesday, March 29 Thursday, March 31 This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning […]
Please join us as we continue to develop a community of practice around cancer research that utilizes computational methods. Algorithms for single-cell tumor phylogeny inference and deep learning imaging models for tumor purity estimation Iman Hajirasouliha, Ph.D, Assistant Professor of Computational Genomics, Weill Cornell Medicine C3 Faculty Leadership: Joe Costello, Hani Goodarzi, Franklin Huang, […]
This three-session workshop will focus on the analysis of single-cell RNA-Seq data, starting from raw count matrices and progressing to network analysis of single-cell datasets. You’ll analyze data using R. Attendance at all three sessions is required. April 15, 2022 • 10am–12pm: Loading data, quality control, normalization, feature selection, dimensionality reduction April 15, 2022 • 1–3pm: Dimensionality […]
This three-session workshop will focus on the analysis of single-cell RNA-Seq data, starting from raw count matrices and progressing to network analysis of single-cell datasets. You’ll analyze data using R. Attendance at all three sessions is required. April 15, 2022 • 10am–12pm: Loading data, quality control, normalization, feature selection, dimensionality reduction April 15, 2022 • 1–3pm: Dimensionality […]
This three-session workshop will focus on the analysis of single-cell RNA-Seq data, starting from raw count matrices and progressing to network analysis of single-cell datasets. You’ll analyze data using R. Attendance at all three sessions is required. April 15, 2022 • 10am–12pm: Loading data, quality control, normalization, feature selection, dimensionality reduction April 15, 2022 • 1–3pm: Dimensionality […]
Gene set or pathway enrichment methods allow researchers to assign functional or mechanistic significance to results from high-throughput assays like RNA-sequencing. In this workshop, you’ll learn the theory behind some of these methods, and how to interpret the associated results. Intermediate: This is an intermediate workshop in both the Biostats series and the Pathway Analysis series. The demos session will […]
This workshop is a 2-part series running from 2 pm - 5 pm on April 25th and April 27th. D-Lab workshops start 10 minutes after the scheduled start time. The Python Introduction to Machine Learning workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on […]
This workshop is a 2-part series running from 2 pm - 5 pm on April 25th and April 27th. D-Lab workshops start 10 minutes after the scheduled start time. The Python Introduction to Machine Learning workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on […]
