xulijunji's repositories
awesome-network-analysis
A curated list of awesome network analysis resources.
bhm
Biomarker Threshold Models (version 1.05)
Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
Breast-Cancer-Scikitlearn
simple tutorial on Machine Learning with Scikitlearn
Breast_Cancer_Prediction
Application of Ensemble Machine Learning classification approach, with SVM, Logistic Regression, Decision Trees as sub Models.
cellpose
a generalist algorithm for cellular segmentation
CS534-FinalProject
Breast Cancer Prediction with PCA, SVM, Logistic Regression
GeneralTools
A selection of perl, python, bash, and R scripts used in general analyses
Heterogeneity
Code accompanying Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types
MetaGx
Scripts to perform meta-analysis of cancer gene expression datasets
ml-training-intro
Materials for the "Introduction to Machine Learning" class
MLPB
Machine Learning Problem Bible | Problem Set Here >>
Parkinsons-Disease-Digital-Biomarker-DREAM-Challenge
Prediction of Parkinson's Disease diagnosis
PCA-with-SVM
Used Principal Component Analysis with Support Vector Machine to classify cancer data
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
RNASeqDrug
Gene isoforms as expression-based biomarkers predictive of drug response in vitro
sc_mixology
This contains the dataset for comparing scRNA-seq analysis methods
scikit-feature
open-source feature selection repository in python (DMML Lab@ASU)
scikit-learn
scikit-learn: machine learning in Python
Stage-Prediction-of-Cancer
Contains the work being done on finding biomarkers for building classifier for cancer stage prediction
support-vector-machine
An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.
SVM-and-PCA-for-breast-cancer-classification
I am able to substantially compress the sklearn breast cancer data set by reducing the many features in this dataset down to just two principle components. The compressed data set is nicely classified using a SVM (fed by linear kernel), resulting in a prediction accuracy of over 95%.
SVM-Cancer-diagnostics
Improving cancer diagnostics using machine learning (SVM, Decision Tree, Random Forest)
Wisconsin-Breast-Cancer-Data
Implemented NN, SVM and other classification algorithms. Results and graphs included.