RankerGUI: A Computational Framework to Compare Differential Gene Expression Profiles Using Rank Based Statistics
نویسندگان
چکیده
منابع مشابه
Computational rank-based statistics
This review discusses two algorithms which can be used to compute rank-based regression estimates. For completeness, a brief overview of rank-based inference procedures in the context of a linear model is presented. The discussion includes geometry, estimation, inference, and diagnostics. In regard to computing the rank-based estimates, we discuss two approaches. The first approach is based on ...
متن کاملSimultaneous confidence intervals to compare gene expression profiles using ABC transporter TaqMan microfluidic cards.
The rapid evolution of techniques for measuring gene expression makes available substantial data which require careful analysis. In particular, relative quantification based on microfluidic cards allows performing of rapid large scale analyses. In the present study, we employed ovarian carcinoma cell lines resistant to cisplatin (IGROV-1/Pt1) or to a camptothecin (IGROV-1CPT/L), both characteri...
متن کاملGlobal gene expression analysis using microarray to study differential vulnerability to neurodegeneration
Neurodegenerative disorders such as Parkinson’s disease, motor neuron disease and Alzheimer’s disease is characterized by loss of specific cells within certain regions of the brain. One of the most compelling questions is to determine why specific cell populations are vulnerable to neurodegeneration. We addressed this question by studying global gene expression changes using an animal model of ...
متن کاملGlobal gene expression analysis using microarray to study differential vulnerability to neurodegeneration
Neurodegenerative disorders such as Parkinson’s disease, motor neuron disease and Alzheimer’s disease is characterized by loss of specific cells within certain regions of the brain. One of the most compelling questions is to determine why specific cell populations are vulnerable to neurodegeneration. We addressed this question by studying global gene expression changes using an animal model of ...
متن کاملA classification framework applied to cancer gene expression profiles.
Classification of cancer based on gene expression has provided insight into possible treatment strategies. Thus, developing machine learning methods that can successfully distinguish among cancer subtypes or normal versus cancer samples is important. This work discusses supervised learning techniques that have been employed to classify cancers. Furthermore, a two-step feature selection method b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Molecular Sciences
سال: 2019
ISSN: 1422-0067
DOI: 10.3390/ijms20236098