In this webinar, Dr. Yanjun Qi will demonstrate AttentiveChrome, an attention-based deep learning approach that uses a unified architecture to model and interpret interactions and dependencies among the chromatin factors underlying gene regulation.

Dr. Paul Marjoram will discuss how statistical analysis of polymorphism data can be used to explore a number of issues relating to cancer.

In this Data Science Seminar, Dr. Kristen Naegle will address both the advances and challenges in using phosphoproteomic data to better predict kinase activity and consequently strengthen precision medicine.

Dr. Eliezer Van Allen will describe how a patient’s cancer genome can be used to guide individualized treatment choices for precision medicine. He will examine how to identify treatment resistance mechanisms and show how certain phenotypic patterns can be paired with new modes of computation to further inform treatment decisions.

Dr. Charles Wang will address the need for guidance in selecting algorithms for accurate biological interpretations of varied data types acquired with different single-cell RNA sequencing platforms.

Accurate detection of somatic mutations is challenging but critical to understanding how cancer forms and progresses. In this Data Science Seminar, Dr. Mohammad Sahraeian will demonstrate how a neural network called NeuSomatic can outperform conventional detection approaches that involve low coverage, low mutation frequency, damaged DNA, and/or ambiguous genomic regions.

Matthew Trunnell will discuss the concept of a capability maturity model and describe how this model can be applied to today’s data commons to create a more comprehensive data ecosystem in the future.

Drs. Helen Moore, Esmeralda Casas-Silva, Veena Gopalakrishnan, and Ms. Claire Blaustein will showcase the design and functionality of the NCI Cancer Moonshot Biobank website. By highlighting the challenges and successes they encountered when developing the website, their hope is that it will serve as an archetype for similar participant-engagement efforts within NCI.

Dr. Noémie Elhadad will show how patient-record summation tools can help clinicians make sense of seemingly overwhelming amounts of patient data at the point of care.

Dr. Nicolas Fernandez will demonstrate the latest version of Clustergrammer2, a visualization tool that allows users to perform more refined clustering on cell lines and genes.