Findr (Fast Inference of Networks from Directed Regulations) is a statistical inference tool for genetics. It predicts the probability of pairwise gene regulation probability based on gene expression level data. When genotype data is available for the best eQTLs, higher prediction accuracy can be achieved. The pairwise regulation probability is then applied for the reconstruction of gene regulation networks.

Findr obtains much higher accuracy and faster speed than existing programs [1]. This is due to the analytical and implementational advances. Findr library can be downloaded from [2].

This package is the python interface of Findr library, downloadable from [3]. It requires Findr library to be pre-installed. Due to incompatibility issues of Cygwin with non-Cygwin programs, the python interface does not support Windows. The binary interface and R package are also provided for Findr, downloadable from [4] and [5] respectively. The binary interface supports Windows.

A more detailed documentation of Findr can be found as doc.pdf.

[1] Lingfei Wang and Tom Michoel. Improved microRNA target predictions from genetics of gene expression data with Findr (submitted). 2016.
[2] https://github.com/lingfeiwang/findr
[3] https://github.com/lingfeiwang/findr-python
[4] https://github.com/lingfeiwang/findr-bin
[5] https://github.com/lingfeiwang/findr-R
