fanglingwang's Stars
keras-team/keras
Deep Learning for humans
guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
jundongl/scikit-feature
open-source feature selection repository in python
fbrundu/pymrmr
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
mfbalin/Concrete-Autoencoders
stan-dev/projpred
Projection predictive variable selection
ramhiser/datamicroarray
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
sramirez/fast-mRMR
An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
giorgioroffo/Infinite-Feature-Selection
Infinite Feature Selection: a Graph-based Feature Filtering Approach
mickaelleclercq/BioDiscML
Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
LBBSoft/FeatureSelect
FeatureSelect
Pengeace/MGRFE-GaRFE
Multilayer recursive feature elimination based on embedded genetic algorithm for cancer classification
kivancguckiran/microarray-data
Microarray datasets in CSV tarballs for MATLAB and Python
simonorozcoarias/ML_DL_microArrays
Here, we describe the comparison of the most used algorithms in classical ML and DL to classify carcinogenic tumors described on 11_tumor data base, obtaining accuracies between 76.97% and 100% for tumor identification. Our results bring up a more efficient an accurate classification method based on gene expression (microarray data) and ML/DL algorithms, which facilitates the prediction of the tumor type from a multiple cancer types scenario
jsvir/lscae
Deep unsupervised feature selection by discarding nuisance and correlated features
bommert/filter-benchmark-paper
Source code for "Benchmark for filter methods for feature selection in high-dimensional classification data"
liuyanfang023/KBS-RNE
Robust Neighborhood Embedding for Unsupervised Feature Selection, submitted to KBS, 2019
primekangkang/Genedata
QUST-AIBBDRC/rL-GenSVM
Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine
Ritam-Guha/ECWSA
This repo contains the codes and supplementary documents for Embedded Chaotic Whale Survival Algorithm
consigliere19/SSD-LAHC
A feature selection algorithm based on Social Ski Driver Optimization and Late Acceptance Hill Climbing
bommert/survival-filter-benchmark
Source code for "Benchmark of filter methods for feature selection in high-dimensional gene expression survival data"
MLDMXM2017/ECOC-MDC
rauljosepalma/DiCFS
An Apache Spark package containing a distributed implementation of the popular CFS algorithm for feature selection.
hnematzadeh/Frequency-based-feature-selection-method-using-whale-algorithm
idssplab/overall_survival_nsclc
bimodal DNN for NSCLC patient overall survival prediction
chenjoe569/NSCLC-Research
KhosroRezaee/Microarray-data-classification-using-ensemble-of-gene-selection-
sramirez/flink-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods for Apache Flink. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
trin07/MA-HS
Source code for MA-HS