tongyt1225's Stars
Jia-Yu-Chen/RChIP
Scripts for RChIP-seq Analysis
wanglabtongji/SCRIP
SCRIP(Single Cell Regulatory network Inference using ChIP-seq) is a tool for evaluating the binding enrichment of specific TR at single-cell resolution based on scATAC-seq.
xuzhougeng/Learn-Bioinformatics-by-RNA-seq
xuzhougeng/R-ChIP-data-analysis
vpejaver/clingen-svi-comp_calibration
Data and code associated with ClinGen-SVI computational sub-group's calibration paper
steverozen/SynSig
Software to create catalogs of synthetic mutational spectra and to evaluate mutational signature profiles extracted from them
pcingola/SnpEff
hanbw/ebv_script
sidhomj/DeepTCR_COVID19
Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires
nonnerdling/DeepHINT
Deep learning for HIV
lakshayg/tensorflow-build
TensorFlow binaries supporting AVX, FMA, SSE
LeVanSonTMT/Malware_classification_using_method_Word2Vector_and_MLP
Malware Classification Method Based on Word Vector of Bytes and Multilayer Perception.
siddhaling/Five-Fold-Cross-Validation-of-CNN-Model-using-Image-Sentiment-Prediction
Five-Fold-Cross-Validation-of-CNN-Model-using-Image-Sentiment-Prediction
cschin/DCNet
DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch & Neural DBG
edianfranklin/autoencoder_for_cancer_subtype
google/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
aquaskyline/Clairvoyante
Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing
manwaiii/DeepViral_3class
Classification of RNA virus, DNA virus and bacterial reads by using CNN model.
Moeinh77/Virus-DNA-classification-BERT
Classification of 6 viruses including covid-19 based on their DNA sequences using Transformers
mgarort/NGSchool2018-Convolutional-neural-network
Convolutional neural network (CNN) that classifies breast cancer types.
marc-vaisband/deepCNNvalid
Validation of genetic variants from NGS data using Deep Convolutional Neural Networks
seyonechithrananda/deep-bind-tensorflow
TF-binding CNN model, trained on ChIP-SEQ sequence data to predict dna-protein binding interactions.
Ylenia1211/ProjectUni-CNN
Replication of research article results: Rizzo, Riccardo, et al. "A deep learning approach to DNA sequence classification." International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics. Springer, Cham, 2015.". ML models were used: Naive Bayes, SVM, Random Forest; The CNN neural network was also implemented, respecting the modifications made to the LeNet-5 network in the research article.
NikolayOskolkov/DeepLearningAncientDNA
Here I show how to use Convolutional Neural Networks (CNNs) for Ancient DNA analysis
MedChaabane/DeepBind-with-PyTorch
CNN architecture for predicting DNA binding sites for Transcription Factors
shlomota/DeepViral
edited version of DeepViral
onceupon/deep_learning_DNA
classifying human DNA sequence and random ATCG sequences, using keras CNN
zeyneb-chiha/DNA-Sequences-classification-using-CNN
jerryji1993/DNABERT
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
dviraran/SingleR
SingleR: Single-cell RNA-seq cell types Recognition (legacy version)