The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) (Hardcover)

Product Description

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book.

This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates.

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

About the Author

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Job Posting – Bioinformatics Scientist – Fremont

Bioinformatics Scientist
Job #09-035

The Institute for Systems Biology (ISB) is an internationally renowned non-profit research institute dedicated to the study and application of systems biology. Founded in 2000 in Seattle, Washington, ISB’s goal is to unravel the mysteries of cellular networks and identify strategies that will usher in a new era of P4 Medicine (predictive, preventive, participatory and personalized medicine).

ISB is seeking a bioinformatics scientist for a multi-institution project which aims to uncover the mechanisms underlying AIDS vaccine immunogenicity. This project, funded by the Bill and Melinda Gates Foundation, employs systems biology and gene expression microarray approaches to identify novel genes and pathways which, when activated, lead to enhanced vaccine-induced immune responses.

This individual will be responsible for analyzing gene expression microarray and immunological datasets collected by our collaborators for human and NHP responses to model vaccines. A primary focus will be integrating the microarray data with the immunological measurements (such as percentage of antigen-specific responding CD8+ T-cells) to identify gene expression signatures for enhanced immune responses. Additional efforts will focus on identifying gene expression signatures that are consistent across vaccine models and experimental model systems, and interpreting the biological significance of the signatures.

The individual will be expected to perform analysis in a transparent manner and to clearly communicate analysis results to collaborating scientists. The individual will also be expected to develop tools and facilities to make data and analysis results easily accessible to other scientists. Finally, the individual is expected to take an active interest in the biology and to interpret analysis results in a biological context. While a strong background in Immunology is not required for this position, enthusiasm and interest in Immunology is required. We are seeking an individual who will independently dive into the biological literature to gain then necessary background knowledge as needed for the project.

Applicants must hold an MS or Ph.D. degree in Bioinformatics, Biology, Engineering, Physics, Computer Science, Mathematics, or a related scientific discipline pertinent to the position. Some experience working with microarrays or complex biological datasets is required, as is fluency with basic statistical methods. Applicants must also have experience with computational analysis frameworks such as R or MATLAB. Familiarity with bioinformatics tools like Bioconductor and Cytoscape is a bonus. A successful candidate will have demonstrated success in scientific creativity, collaboration, and independent thought.

ISB is an M/F/D/V/EOE.

Please visit the Careers page of our website at http://www.systemsbiology.org/careers for application instructions. Please include Job # 09-035 in all correspondence regarding this position.

Job Posting – Software Engineer – Philadelphia

BioNanomatrix seeks highly innovative and motivated individuals in the fields of cancer genomics, epigenetics, micro/nanotechnology, polymer/surface chemistry, optics, system automation engineering, software engineering, and bioinformatics. We are looking for talented, creative, results-driven individuals who enjoy being part of an interdisciplinary team.

BioNanomatrix is an equal opportunity employer. We offer a positive, diverse and exciting work environment with competitive salary and benefits and the potential for career growth.
The following full time software engineering position is currently available. If you are interested, please send a cover letter, resume and salary requirements to hr@bionanomatrix.com.

Description
You will be responsible for providing support related to all aspects of software analysis, design, development, documentation, and configuration management of the software deployed with our product. You’ll be responsible for developing new functionality for a high throughput system, followed by upgrades, testing, debugging and enhancements to our deployed software applications.
The position also includes writing or reviewing specifications, analysis, testing and design of the software.
It requires the ability to work well with beta sites when providing support, and with our clinical consultants when writing or reviewing specifications.

Specific Duties:
• Participate in the preparation of system requirements and design specifications.
• Engineer software in C++, .NET environment, adhering to our software design specifications
• Apply software engineering skills and tool knowledge to produce a system that meets the stated requirements and controlled standards.
• Provide software engineering and product expertise throughout the lifecycle of assigned projects, including code optimization, documentation and testing.
• Adhere to configure management practices.
• Participate in the preparation of project plans, status and statistical reports, etc.
• Assist in the resolution of product issues escalated from alpha and beta sites, as required.
• Learn new skills as required, particularly moving in the direction of multiple device integration.

Required Education and/or Experience
• BS in Computer Science or 5 years of Software Engineering experience. Masters/PhD a plus.
• Experience in machine learning and statistical methods a plus.
• Minimum 3 years of software engineering experience required
• 1 year Microsoft Dot Net experience required
• 2 years MS Visual Studio experience required
• 1-2 years C++ experience required
• Microsoft Certified Engineer preferred
• Biological sequence analysis experience preferred
• Must have excellent communication skills
• Must be able to work in a team environment
• Must be able to adhere to deadlines

hr@bionanomatrix.com

Job Posting – Research Associate – Molecular Biology – Cambridge, MA

DESCRIPTION:

Designing experiments, as well as optimizing and performing various assays including but not limited to: quantitative real-time PCR, siRNA /ShRNA/cDNA transfection and transduction, luciferase reporter assay, immunostaining.
Applying various genetic and chemical tools to dissect cancer and signal transduction pathways in different in vitro cancer models to elucidate drug mechanism of action and mechanisms of drug sensitivity and resistance.
Participating in the development of novel biological and chemical assays/screens to accelerate the current drug and biomarker discovery effort.

SKILLS

Expertise with basic molecular and cellular biology techniques such as molecular cloning, mammalian cell culture, compound efficacy profiling, viral based gene delivery, real-time qPCR and RNAi technology is required.
The ideal candidate will have excellent analytical and organizational skills as well as good oral and written communication skills. A familiarity with data analysis software and basic bioinformatics packages is expected.
Highly motivated, fast learner, ability to work independently and as a team member and ability to multi-task are key qualities.

EDUCATION

B.S. or M.S. in Cell/Molecular Biology, Biochemistry, Genetics, or a related field with at least three years of academic or industry lab experience.

Must be US Citizen or Green Card Holder and Live Local

Please submit resume as word attachment to jobs@cwsciences.com

Commonwealth Sciences, Inc.
http://www.cwsciences.com

Job Posting – Database Administrator / Programmer – Clinical Research Operations – Boston, MA

The Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) is seeking a database administrator / programmer for several ongoing clinical research projects. This person will be responsible for independently learning clinical data models through data dictionaries and seeking data elements from VistA, the VA’s electronic medical record system, to support ongoing clinical research. Must be comfortable networking with other DBAs across the VA system to find data elements. The second primary role of this person will be participation in the development and implementation of a data model to support analysis across several ongoing clinical trials. This initial effort is part of a larger initiative to lay the foundation for the next generation of clinical research for the Veterans Administration Hospital System and its academic affiliates. This model and the development team will eventually scale to incorporate several different data types including electronic medical record data, biological specimen data, and genomic data.
Communication skills are very important for this position. Qualified candidates will have experience working directly with end users unfamiliar with database technologies and structures and be capable of translating their information needs into data extractions. Candidates must also have been part of a larger development team and responsible for creating or customizing relational databases.
The hired candidate will report to MAVERIC’s Associate Center Director of Biomedical Informatics and work on several ongoing projects with multidisciplinary teams of clinicians, informatics researchers, and IT staff to develop prototypes and solutions. Projects include funded informatics research projects as well as the development of solutions to streamline in-house research operations. The ability to work independently to meet multiple deadlines is essential.
Required Experience
• Microsoft SQLServer (3+ years)
• Database design (3+ years)
• Report development (3+ years)
• Work directly with end-users to translate needs into data pulls
Preferred Experience
• Data warehouse development
• Business intelligence / OLAP software (Cognos, SAS BI, Sybase, SQLServer Analysis Services)
• Intersystems Cache
• MUMPS
• Fileman
• Healthcare data
• Clinical trials operations
• CDISC
• Creation and use of data cubes
• Familiarity with biological data (genomic, proteomics, bioinformatics, etc)
Candidates must be U.S. citizens
About MAVERIC

The Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) is comprised of four scientific divisions; clinical trials, epidemiology, bio-specimen laboratory, and biomedical informatics. MAVERIC is an independent entity with 10,000 square feet of newly renovated space located on the 13th & 14th floors, C & D wings of the VA Boston Healthcare System (VABHCS) and an additional 8,000 sq. ft. for our bio-specimen lab in the basement of the Research Building. The MAVERIC staff includes project managers, biostatisticians, informatics researchers, computer programmers, database managers, program and staff assistants, career development awardees, fellows, physicians, a quality assurance officer, and administrative personnel.

MAVERIC is affiliated with the following academic and hospital institutions:

Harvard School of Public Health Boston University School of Public Health
Harvard Medical School Boston University School of Medicine
Brigham and Women’s Center for Surgery and Public Health Brigham and Women’s Hospital Channing Laboratory
Northeastern University’s Graduate Program in Health Informatics
Interested candidates should send a cover letter and résumé to:
Shalena Robinson at:
Shalena.Robinson@va.gov

Next Page »