yangziyi1990

SMSPL

A robust multimodal data integration method can simultaneously predict subtypes of cancer and identify potentially significant multi-omics signatures.

SPLDExtraTrees

SPLDExtraTrees: Robust machine learning approach for predicting kinase inhibitor resistance

deepbgc

BGC Detection and Classification Using Deep Learning

DRfold

drugbank

User-friendly extensions of the DrugBank database

GEO_data_analyisis_R

GEO_data_analysis_Matlab

LaMCTS

The release codes of LA-MCTS with its application to Neural Architecture Search.

Logistic_half_meta_analysis_realdata

script for meta_analysis based on Logistic_regular with CD algorithm for real data analysis

Logistic_half_metaanalysis_simulation

script for meta_analysis based on Logistic_regular with CD algorithm for simulation data analysis

Logistic_half_ziyi

Logistic_regularization_admm

Logistic_regularization_Cliu

Logreg_regularization_admm_CV_simulation

Logreg_regularization_admm_CV_simulation_diffsize

Add Scripts about Logistic_regulars based on ADMM algorithm in different dataset with different sample size.

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

MetaAnalyze_preprocess

misato-dataset

MSPL

MSPL: Multimodal Self-Paced Learning for multi-omics feature selection and data integration

MVIAm

RosENet

Select-ProtoNet

Single_gene_model

SparseGraph

Sparse Learning of Graphic Models for predicting targets and compounds relationships

yapf

A formatter for Python files