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Noisy Data Facilitates Investigation of Breast Cancer Gene Expression
Study tested the potential of denoising autoencoders to identify and extract complex patterns from genomic data.
New 'Systems Genetics' Study Identifies Possible Target For Epilepsy Treatment
A single gene that coordinates a network of about 400 genes involved in epilepsy could be a target for new treatments, according to research.
First Major Analysis Of Human Protein Atlas Published
A research article published in Science presents the first major analysis based on the Human Protein Atlas, including a detailed picture of the proteins that are linked to cancer, the number of proteins present in the bloodstream, and the targets for all approved drugs on the market.
Insights Into A Rare Genetic Disease
Study shows mutation in NGLY1 gene is linked to a genetic disorder with severe consequences.
Hidden Cell Types Revealed
New statistical method for RNA-seq analysis identifies, corrects for hidden structure between cells.
Prognostic Test for E2F4 in Breast Cancer Developed
A gene signature in E2F4 has been identified which is predictive of estrogen receptor positive breast cancer.
UMMS Receives $6.1 M to Develop Model for Predicting Gene Expression
Insight into regulation of the genes that allow the immune system to recognize pathogens will help scientists rationally design new vaccines and prevent autoimmunity.
Project to Focus on Link Between Immune System and Brain Disorders
Researchers to investigate whether mood disorders, such as depression, and neurodegenerative diseases, such as Alzheimer’s, could be treated by targeting the immune system.
Predicting Antibiotic Resistance
A common set of features appear to be responsible for the development of resistance to several types of antibiotics.
Study Finds Genetic Clue To Menopause-Like Condition In Young Women
NIH-funded research may also contribute to understanding normal menopause.
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An Approach to Analyzing Data From a Large Sub-Population of Single Cells
Richard Fekete, Senior Manager, Sample Preparation Department, Life Technologies, speaking at Single Analysis Summit 2010.
Date Posted: Monday, February 21, 2011
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