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deepid-implementation

DeepID-implementation is an implementation of paper "Deep Learning Face Representation from Predicting 10,000 Classes"

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

fgvc

[ECCV 2020] Flow-edge Guided Video Completion

fpfilter-tool

funset

A toolkit that combines multiple functions

lancet

Microassembly based somatic variant caller for NGS data

lwlegopt

lwlegopt is used for the data processing of cancer genomes

maftools

:cancer: Summarize, Analyze and Visualize MAF files from TCGA or in house studies.

mgvt

Visualization toolkit for Metagenome analysis

mutect

MuTect -- Accurate and sensitive cancer mutation detection

mutspot

pci_code

《集体智慧编程》(Programming Collective Intelligence) 修改版本源代码

programming-collective-intelligence-source-code

集体智慧编程源代码

rnmf

We present an optimized non-Negative Matrix Factorization (NMF) based on R to extract the mutational signature in cancer research. A key model of cumulative contribution abundance (CCA) was designed to highlight the association between genes and mutational signatures.

saw

trimmomatic

Read trimming tool for Illumina NGS data.