University of Cambridge > Talks.cam > CUED Control Group Seminars > Compressed Sensing in Cancer Biology? (A Work in Progress)

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Compressed Sensing in Cancer Biology? (A Work in Progress)

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Dr Jason Z JIANG.

Unlike traditional talks in which the speaker presents a reasonably finished body of work, in this talk I will touch only briefly upon recently completed research, and then suggest several problems that deserve the attention of quantitatively minded researchers. The title refers to the fact that an algorithm recently developed by us for predicting the response of cancer patients to specific therapies has a lot of similarities with recent research in compressed sensing based on l_1-norm minimization. However, the proof techniques used to analyze the behavior of compressed sensing algorithms do not apply to our algorithm. Nevertheless our algorithm has performed remarkably well on a range of data sets. So the question is: Why? Another theme is that contemporary biology data sets consist of a mixture of numerical data and class labels. So new methods are needed to “integrate” all of these diverse types of data and draw meaningful conclusions. Some possible approaches to data integration will also be suggested.

This talk is part of the CUED Control Group Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Arts, Culture and Education Cambridge Comparative Syntax Conference (CamCoS) SBR Graduate Talks Cambridge Global Health Year Looking at Language Acquisition (LALA) XIII - A meeting of Essex and Cambridge PhD students Legal Histories beyond the State

Other talks

Fields of definition of Fukaya categories of Calabi-Yau hypersurfaces Imaging techniques and novel tools for early detection and intervention A stochastic model for understanding PIN polarity in isolated cells Regulation of progenitor cells in adult lung and in lung cancer Designing Active Macroscopic Heat Engines The Knotty Maths of Medicine Towards a whole brain model of perceptual learning Inferring the Evolutionary History of Cancers: Statistical Methods and Applications Graph Legendrians and SL2 local systems Networks, resilience and complexity Direct measurements of dynamic granular compaction at the mesoscale using synchrotron X-ray radiography Hypergraph Saturation Irregularities
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity