Pinned Repositories
applied-machine-learning
A step-by-step guide to get started with Applied Machine Learning
Control-Theory
Tutorials on topics as Introductory, advanced and optimal control
ControllingContaminants16S
covid-policy-tracker
Systematic dataset of Covid-19 policy, from Oxford University
Edge-biomakers
The scripts were used for multi-class node to edge transformation, edge feature selection and classification prediciton
emp
Code repository of the Earth Microbiome Project.
GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
single-sample-dynamic-landscape-network-biomarker
单样本DNB
Tax4Fun
unofficial Tax4Fun repo
Wang-s-microbiome-scripts
王璐的微型瑞士军刀
wanglu2014's Repositories
wanglu2014/single-sample-dynamic-landscape-network-biomarker
单样本DNB
wanglu2014/Tax4Fun
unofficial Tax4Fun repo
wanglu2014/Wang-s-microbiome-scripts
王璐的微型瑞士军刀
wanglu2014/applied-machine-learning
A step-by-step guide to get started with Applied Machine Learning
wanglu2014/Control-Theory
Tutorials on topics as Introductory, advanced and optimal control
wanglu2014/ControllingContaminants16S
wanglu2014/covid-policy-tracker
Systematic dataset of Covid-19 policy, from Oxford University
wanglu2014/Edge-biomakers
The scripts were used for multi-class node to edge transformation, edge feature selection and classification prediciton
wanglu2014/emp
Code repository of the Earth Microbiome Project.
wanglu2014/GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
wanglu2014/hands-on-analysis-python
PyCon 2015
wanglu2014/jupyter-genomics
A collection of Jupyter notebooks authored by the UCSD Center for Computational Biology & Bioinformatics (http://compbio.ucsd.edu). These include methods on utilizing cloud computing resources and analysis of data from next-generation sequencing, systems biology, and microbiome.
wanglu2014/learning-data-science
A repo for learning data science and Python.
wanglu2014/ln-game-theory
Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.
wanglu2014/ML_SVM
wanglu2014/QuACN
:exclamation: This is a read-only mirror of the CRAN R package repository. QuACN — QuACN: Quantitative Analysis of Complex Networks
wanglu2014/rep_renv
A environment to reproduce TreeMM
wanglu2014/robustness
Software for evaluating the robustness of complex networks.
wanglu2014/sna_exampler
wanglu2014/T1D-gut
microbial marker
wanglu2014/T1D-gut-microbiome-biomarker
wanglu2014/TreeMM_figure
The data and code to reproduce TreeMM study