Pinned Repositories
CLImAT
accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data
CLImATHET
Detecting subclonal copy number alterations and loss of heterozygosity in heterogeneous tumor samples from whole-genome sequencing data
DeepPhos
HNMDRP
A novel heterogeneous network-based method for drug response prediction in cancer cell lines
LPIHN
Predicting Long N oncoding RNA and Protein Interactions U sing Heterogeneous Network Model
LSCDFS-MKL
MDNNMD
An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.
MPTM
MPTM: A Tool for Mining Protein Post-translational Modifications from Literature
NRL2DRP
A novel approach for drug response prediction in cancer cell lines via network representation learning
TPGLDA
Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph
USTC-HIlab's Repositories
USTC-HIlab/MDNNMD
An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.
USTC-HIlab/DeepPhos
USTC-HIlab/TPGLDA
Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph
USTC-HIlab/NRL2DRP
A novel approach for drug response prediction in cancer cell lines via network representation learning
USTC-HIlab/CLImAT
accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data
USTC-HIlab/CLImATHET
Detecting subclonal copy number alterations and loss of heterozygosity in heterogeneous tumor samples from whole-genome sequencing data
USTC-HIlab/HNMDRP
A novel heterogeneous network-based method for drug response prediction in cancer cell lines
USTC-HIlab/LPIHN
Predicting Long N oncoding RNA and Protein Interactions U sing Heterogeneous Network Model
USTC-HIlab/LSCDFS-MKL
USTC-HIlab/MPTM
MPTM: A Tool for Mining Protein Post-translational Modifications from Literature
USTC-HIlab/LearningPanCancerGene
A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarity constraints
USTC-HIlab/RS-ExpNet-CRNMF
Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction network
USTC-HIlab/DeepTL-Ubi
USTC-HIlab/DMTHNDM
USTC-HIlab/LPBNI
USTC-HIlab/mCGfinder
A novel network regularized matrix decomposition method to detect mutated cancer genes in tumour samples with inter-patient heterogeneity
USTC-HIlab/Semi-HIC
Semi-HIC: A novel semi-supervised deep learning framework for histopathological image classification
USTC-HIlab/ustc-hilab.github.io
hilab主页
USTC-HIlab/CloneCNA
detecting subclonal somatic copy number alterations in heterogeneous tumor samples from whole-exome sequencing data
USTC-HIlab/DGPathinter
a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways
USTC-HIlab/GIANT
Genome-wide identification of somatic aberrations from normal-tumor samples
USTC-HIlab/GPHMM
USTC-HIlab/In-house
USTC-HIlab/IntDriver
Discovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information
USTC-HIlab/NTSMDA
USTC-HIlab/PKIS
Computational Identification of Protein Kinases for Experimentally Discovered Protein Phosphorylation Sites
USTC-HIlab/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
USTC-HIlab/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition