ipanda | insilico Pathway Activation Network Decomposition Analysis | Genomics library
kandi X-RAY | ipanda Summary
kandi X-RAY | ipanda Summary
in silico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis method that aids interpretation of large-scale gene expression data. The method introduced here includes coexpression analysis and gene importance estimation to robustly identify relevant pathways and biomarkers for patient stratification, drug discovery and other applications.
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Top functions reviewed by kandi - BETA
- Load text from a text file
- Generate lines
- Extract ARs from the given gene_dict
- Extract AR values from text files
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Community Discussions
Trending Discussions on ipanda
QUESTION
I am trying to install pandas in an EC2 instance using the AWS linux distro for use with Python34.
I ran:
...ANSWER
Answered 2017-Nov-07 at 21:00I'm guessing you have an old version of pip, otherwise it would try to install via a wheel (binary dist). So one option would be to upgrade pip, then install pandas. (
python34 -m pip install -U pip
)If you do want to build pandas from source, or any python c-extension, you need to install the python development headers, probably something like
yum install python34-python-devel.x86_64
QUESTION
Trying to install pandas with pip (python3.4) on ubuntu 15.10, I am getting this error. The numpy version is 1.12 (latest). I have installed pandas on ubuntu and windows but never faced this kind of problem.
...ANSWER
Answered 2017-Jan-30 at 08:26You always need the python-dev package to compile Python C extensions such as the ones in Pandas. When you install Python from source, they're installed along, but not with the Ubuntu package.
From pip install --help
:
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Install ipanda
You can use ipanda like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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