Submission Deadline Extended! Computational Approaches for Cancer Workshop (cafcw-2016)

Download 12.79 Kb.
Size12.79 Kb.
Submission Deadline Extended!
Computational Approaches for Cancer Workshop (CAFCW-2016)
Held in conjunction with the

SC16: The International Conference on

High Performance Computing, Networking, Storage and Analysis
November 13, 2016, Salt Lake City, Utah, USA
SC16 Conference Link:
Workshop Information Link:
Important Dates:

  • Submission Deadline: (Updated) September 15, 2016 at

  • Notification of Acceptance: (Updated) September 22, 2016

  • Workshop: November 13, 2016

The need for a workshop focused on computational approaches for cancer has become increasingly important as the drive towards precision medicine has accelerated, the challenges in cancer research and clinical application requiring computational solution are rapidly growing, and the pursuit of effective predictive models for complex biological systems begin to inform future exascale computing requirements. The role of computation in cancer research has only become more pronounced with the National Strategic Computing Initiative, the Precision Medicine Initiative, the Exascale Initiative from the DOE and the announcement of the "cancer moonshot" at the 2016 US Presidential State of the Union Address. Recent activities announced at the June 28 Cancer Moonshot Summit highlight the important role of advanced computing in accelerating advances in cancer research and clinical applications.

( )

In the workshop, we bring together the computational community interested in the use high-performance computing, analytics, predictive modeling, and large datasets in cancer research and clinical applications. The participation in the workshop is inherently inter-disciplinary, with the common interest in cancer and computation the unifying theme. As such, the workshop provides rich opportunities for attendees to learn about future directions, current applications and challenges and build collaborations. Maintaining a perspective of translation of ideas to clinical application, the workshop will include involvement of interests from the research, clinical and regulatory areas

Call for Papers
The workshop aims to recognize the critical role that cross-disciplinary partnerships, shared effort and team science play in advancing the cancer research and clinical applications through use of computational methods, data science, high-performance computing and/or cutting-edge computational technologies. In creating this call for papers, topics of interest are presented in tandem, further emphasizing the cross-disciplinary opportunities for innovative submissions.
Topics of interest for workshop submissions include, but are certainly not limited to combinations of the following cancer and computational topics:

Cancer Research and Clinical Applications
Next Generation Sequencing Analysis

Single Cell Sequencing

Proteomics, Genomics, and Metabolomics

Flow Cytometry

High-throughput Screening

Cyro-Electron Microscopy

Multi-modal Biological Imaging

Structural Biology

Biological-scale Molecular Dynamics

Predictive Oncology

Cancer Therapeutic Development

Protein-protein Interaction

Cellular Signaling

Cell-level Predictive Modeling

Cancer Imaging

Digital Pathology

Pharmacodynamic Modeling

Pharmacogenomic Modeling and Analysis

Electronic Health and Medical Records

mHealth and Health Sensor Networks


Cancer Diagnostics

Therapeutic Response

Systems Biology

Computational Approaches
High-performance Parallel Computing

Cloud Computing

Exascale and Extreme-scale Computing

Machine and/or Deep Learning

Cognitive Computing

Data Integration and Delivery

Image Processing

Pattern Recognition

Heterogeneous Computing (GPGPU, FPGA, etc.)

Programming Models


Data Imputation

Uncertainty Quantification

Multi-scale Predictive Modeling

Integrated Systems Simulations

Complex Systems Modeling

Integration Frameworks

Computational Workflows

Information and Data Security

Automata and Finite State Machines

Novel Mathematical and Statistical Models

Data Science and Analytics

Graph and/or Network Analysis

Model Validation and Verification

Submitted extended abstracts of papers will be reviewed and selected for presentation in the Computational Approaches for Cancer Workshop held as part of the SC 16 Workshop Program, November 13, 2016 in Salt Lake City, Utah.

Submission Guidelines
Authors are invited to submit extended abstracts in English structured as technical papers limited to a maximum of two letter size pages (not including bibliography). A bibliography should be included and use the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without consideration or review.
Abstracts will be reviewed and judged on correctness, originality, technical strength, alignment to expressed cross-disciplinary aims in the paper call, quality of presentation and interest to workshop attendees. Submitted abstracts may incorporate unpublished new advances, insight and/or original research findings.
Submissions received after the due date, exceeding the prescribed length, or not appropriately structured may also be returned without consideration or review.
In submitting the extended abstract, the authors acknowledge that at least one author of an accepted submission will register for and attend the workshop.
Extended abstracts should be submitted electronically as PDF documents at

Note to submitters: Submissions will go through the usual workshop review process. Once accepted, you will be invited to present your work. Given the cross-disciplinary nature of the topic, the organizers are working on opportunities to publish accepted papers in post-conference workshop proceedings, affording authors the opportunity to update contributions based on feedback during the workshop. Details to be forthcoming.
Important Dates
Extended abstract submission: (Updated) September 15, 2016

Notification of acceptance: (Updated) September 22, 2016

Workshop: November 13, 2016
Computational Approaches for Cancer Workshop
Organizing Committee

Thomas Barr – The Research Institute at Nationwide Children’s Hospital

Patricia Kovatch – Mount Sinai School of Medicine

Eric Stahlberg – Frederick National Laboratory for Cancer Research

Program Committee

Sunita Chandrasakaran – University of Delaware

Claudine Conway – Intel

Heiko Enderling – Moffitt Cancer Center

Amy Gryshuk – Lawrence Livermore National Laboratory

William Richards – Brigham and Women’s Hospital, Harvard Medical School

Ilya Shmulevich – Institute for Systems Biology

Thomas Steinke – Zuse Institute Berlin
Download 12.79 Kb.

Share with your friends:

The database is protected by copyright © 2023
send message

    Main page