Home
  • About
  • Archive
  • Contact
  • Subscribe
Error! – What Biomedical Computing Can Learn From Its Mistakes

How errors in data, software, and methodology can teach us how to do better

In 2006, a paper in Nature Medicine suggested a novel and potentially revolutionary method for predicting patient responses to cancer therapies using gene signatures. The finding piqued the interest...
publication, reproducible research, statistics, validation
Sep, 01, 2011
Genetic Variants and Ill Health: Scanning 500,000 SNPs Yields Gene-Disease Connections

It's an exhilarating time for genome-wide association studies

For the past few months it seemed you couldn’t open a journal without reading results of a new genome-wide association study. The results kept pouring in: four studies in April showing seven...
Oct, 01, 2007
  • ‹‹
  • 2 of 2
  •  

SHARE THIS

  • Tweet
  • Email

RELATED ARTICLES

The Top Ten Advances of the Last Decade & The Top Ten Challenges of the Next Decade

A recognition of biocomputing's successes...

06/01/05 by Eric Jakobsson, PhD

On Your Mark, Get Set, Build Infrastructure: The NCBC Launch

The first four National Centers for Biomedical...

06/01/05 by Katharine Miller with an Introduction by Eric Jakobsson, PhD

Spaced out Neurons

A grant to develop software tools to analyze...

06/01/05 by Katharine Miller

More Than Fate: Computation Addresses Hot Topics in Stem Cell Research

Using computational models, researchers are...

04/01/10 by Katharine Miller

POPULAR ARTICLES

Big Data Analytics In Biomedical Research

Can the complexities of biology be boiled down to Amazon.com-style recommendations?  The examples here suggest possible pathways to an intelligent healthcare system with big data at its core.

01/02/12 by Katharine Miller

AlloPathFinder User Profile: Jung-Chi Liao

Columbia’s Jung-Chi Liao seeks pathways within proteins using AlloPathFinder, a Simbios tool he co-developed while at Stanford.

10/01/09 by Kristin Sainani, PhD, and Katharine Miller

More Than Fate: Computation Addresses Hot Topics in Stem Cell Research

Using computational models, researchers are gaining traction toward understanding what makes a stem cell a stem cell; how gene expression drives stem cell differentiation; why studying stem cell heterogeneity is important; and, ultimately, how stem cells control their fate.

04/01/10 by Katharine Miller

Popular Tags

DATA MINING  visualization

genomics  SIMULATION neuroscience

biomechanics Systems Biology

DRUG DISCOVERY Cancer DNA

Molecular Dynamics bioinformatics

SUBSCRIBE TO

RSS Feed
Subscribe to Print Edition
simbios logo

Supported by the National
Institutes of Health through
the NIH Roadmap for
Medical Research Grant.

Stanford University
James H. Clark Center S231
318 Campus Drive, MC: 5448
Stanford, CA 94305-5444

  • About
  • Archive
  • Contact
  • Subscribe