The Mission of Ridgeline
We have the tools to generate mountains of biological data. Scaling these mountains to make discoveries, to accelerate research, to optimize clinical plans requires a unique convergence of talents. Ridgeline Computational Biology harnesses mathematics, big data analytics, technical insight, and decades of experience—all on top of a solid biological foundation—to help you turn data into insights. Anybody can run your data through a pipeline—you need a partner who understands your goals and can help you chart the course to reach them.
Services
Ridgeline provides consulting to the Life Sciences industry in the fields of Computational Biology, Bioinformatics, Biostatistics, and Machine Learning
Project consultancy:
Stand-alone data set analysis
Infrastructure Development:
Help assemble in-house and outsourced Computational Biology capabilities
Design & Advise
How can Computational Biology accelerate your drug-discovery pipeline?
Publications
Gene Cutler and Ridgeline have co-authored numerous research articles:
AUGUST 09 2005 | cited by 187
Hepatocyte growth factor is a preferred in vitro substrate for human hepsin, a membrane-anchored serine protease implicated in prostate and ovarian cancers
APRIL 06 2005 | cited by 207
Multiclass cancer classification and biomarker discovery using GA-based algorithms
AUGUST 09 2005 | cited by 187
Hepatocyte growth factor is a preferred in vitro substrate for human hepsin, a membrane-anchored serine protease implicated in prostate and ovarian cancers
Ridgeline Experience
Ridgeline’s goal is to extract biological stories from big data. Founder & President, Gene Cutler has extensive experience in drug development across a range of therapeutic areas from discovery to the clinic. Having been trained as a molecular biologist but with extensive experience in programming and machine learning, I know which questions to ask and which results are meaningful.