ATME Affinity Group Seminars

Biostatistics Program

ATME Affinity Group Seminars

Analysis Tools and Methods for High-Throughput Genomic Data


When: 1:00 p.m. unless otherwise noted

Where
: M4-A805/A817 unless otherwise noted

Sponsors: Chad He, Janet Stanford, Ruth Etzioni


Past Seminars

*Special Date, Time, and Location:

December 10, 2018, 3:00 - 4:00 pm, M3-A805

Donghui Yan, University of Massachussetts Dartmouth

Randon Projection Forests

In this talk, I will introduce a new tool for data mining and inference — Random Projection Forests (rpForests). rpForests is an ensemble of random projection trees constructed recursively through a series of carefully chosen random projections. rpForests combines the power of ensemble methods and the flexibility of trees; it is simple to implement, highly scalable, and readily adapt to the geometry of the underlying data. The ensemble nature of rpForests makes it easy to run in parallel on multicore or clustered computers, with running time nearly inversely proportional to the number of cores or computers used in the computation. This complements previous development of unsupervised extension to Random Forests-Cluster Forests-which aims at clustering by random feature pursuits. One potential use of rpForests is to leverage the locality of data points captured by rpForests, which has the desired property that the probability of neighboring points being separated decays exponentially fast when the ensemble size increases. We discuss two applications along this line, fast k-nearest neighbor (kNN) search and deep representation learning in the scoring of tissue microarray images.

October 25, 2018

Teresa S. Kim, University of Washington

Neoadjuvant therapy induces a potent inflammatory and corresponding regulatory response within the sarcoma immune microenvironment

Soft tissue sarcoma is a prototype for many solid tumors, which are curable when localized, but prone to recurrence and metastasis, at which point survival is limited and more effective treatment strategies are essential. In the current project, we are utilizing multiple techniques of immunologic investigation, including multiplex immunohistochemistry (mIHC), and transcriptomic analysis with the NanoString platform, to define: (1) the immune response to sarcoma, (2) the effect of preoperative radiation and chemotherapy, and (3) the patterns of immune infiltration that predict treatment response and clinical outcome. We will discuss the benefits of each technique, our findings in sarcoma, and applicability to other solid tumors.