Corporate Banner
Satellite Banner
Biomolecular Screening
Scientific Community
 
Become a Member | Sign in
Home>Resources>Books>This Book
  Books
Scientific News
Stem Cells in Drug Discovery
Potential Source of Unlimited Human Test Cells, but Roadblocks Remain.
Survey of New York City Soil Uncovers Medicine-Making Microbes
Microbes have long been an invaluable source of new drugs. And to find more, we may have to look no further than the ground beneath our feet.
'Lab on the Skin' for Sweat Analysis
Northwestern University researchers develop a low-cost wearable electronic device that collects and analyzes sweat for health monitoring.
Toxoplasma’s Balancing Act Explained
Parasite’s method of rewiring our immune response leads to novel tool for drug tests.
Cancer Signaling Pathway Illuminating Way To Therapy
Researchers refine a pro-growth signalling pathway, common to cancers, that can kill cancer cells while leaving healthy cells unharmed.
Breast Cancer Cells Starve for Cystine
Depriving triple negative breast cancer, a treatment-resistant form of breast cancer, of cystine results in cancer cell death.
T Cell Channel Could Be Targeted to Treat Cancers
Researcher identify ion-channel found within T cells that could be targeted to reduce development of neck and head cancers.
Novel Urine Test to Predict High-Risk Cervical Cancer
Preliminary studies affirm accuracy and potential cost savings to screen for virus-caused malignancy.
Biomarker Guiding Cancer Therapy
Biologists link levels of Mena protein to breast cancer cells’ sensitivity to chemotherapy.
Protein Array Can Pinpoint Cancer Biomarker
A novel detection method for the detection of glycoproteins has been developed.
Scroll Up
Scroll Down

Data Analysis for Biomolecular Sciences
Bookmark and Share

This new text is an ideal introduction to statistics for biomolecular science students based on a successful course and relating statistical theory to real life examples. Data Analysis for Biomolecular Sciences covers the statistics of biological tests and assays, communication of the results of analyses and the use of statistical tests to aid decision making. Topics include probability, precision and accuracy of measurements, significance testing, the t-test, analysis of variance and linear/nonlinear regression. Students of biological subjects often think of statistics as difficult or unappealing so Data Analysis for the Biomolecular Sciences aims to demystify the subject and provide motivation for learning data handling techniques. The text demonstrates the value of the subject in situations ranging from prenatal screening for spina bifida to the use of DNA profiling as criminal evidence, putting every statistical concept into context by providing numerous examples taken from medical science. Recognising that scientists now use computers to perform statistical analyses, the author has also been able to avoid some of the more difficult mathematics and put more emphasis on the interpretation of figures produced by computer software. An entire chapter is devoted to worked examples of data handling performed with Microsoft Excel. Data Analysis for Biomolecular Sciences is aimed at first year undergraduates studying Biochemistry, Physiology, Pharmacology, and other biological subjects involving assaying biomolecules.

Further Information


SELECTBIO

SELECTBIO Market Reports
Go to LabTube
Go to eposters
 
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
3,900+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
5,300+ scientific videos
Close
Premium CrownJOIN TECHNOLOGY NETWORKS PREMIUM FOR FREE!