FAhtisham

DCNN-YY1

The repository contains the codes for the prediction of YY1 chromatin loops using densely connected neural network based on Kmer embeddings.

Deep-Walk

This repo will consist of famous algorithms used for graph embeddings

Enhancer-GAN

GANs to generate enhancer sequences (work in progress)

Extrachrosmosomal-DNA-Prediction

This repository contains codes for the prediction of extrachromosomal DNA prediction

Latext-based-EnhancerGAN

The repository contains the codes for the generation of enhancer sequences using RNN and embedding concepts.

neural-machine-translation-using-gan

Application of rnn-gan to machine translation

Neural-Networks-Codes

Here you will find implementation of neural networks. You can easily understand the architecture because comments have been associated with each line of code.

NP-BERT

NP-BERT is a method for identifying nucleosome positioning across 12 datasets. NP-BERT utilizes state of the art BERT models to learn features from the DNA sequences for nucleomse positioning predictions.

Nucleosome-position-prediction

Random-Codes

Codes to preprocess biological data etc.

FAhtisham/Latext-based-EnhancerGAN

The repository contains the codes for the generation of enhancer sequences using RNN and embedding concepts.

FAhtisham/Nucleosome-position-prediction

FAhtisham/DCNN-YY1

The repository contains the codes for the prediction of YY1 chromatin loops using densely connected neural network based on Kmer embeddings.

FAhtisham/DeepEnhancer-Keras-

FAhtisham/Extrachrosmosomal-DNA-Prediction

This repository contains codes for the prediction of extrachromosomal DNA prediction

FAhtisham/NP-BERT

NP-BERT is a method for identifying nucleosome positioning across 12 datasets. NP-BERT utilizes state of the art BERT models to learn features from the DNA sequences for nucleomse positioning predictions.

FAhtisham/CNN-Draw.io

FAhtisham/Deep-Walk

This repo will consist of famous algorithms used for graph embeddings

FAhtisham/DeepCap-Kcr

FAhtisham/DLSTM-SAE

This is the pytorch implementation of DLSTM-SAE (for text generation)

FAhtisham/Enhancer-GAN

GANs to generate enhancer sequences (work in progress)

FAhtisham/neural-machine-translation-using-gan

Application of rnn-gan to machine translation

FAhtisham/Neural-Networks-Codes

Here you will find implementation of neural networks. You can easily understand the architecture because comments have been associated with each line of code.

FAhtisham/Random-Codes

Codes to preprocess biological data etc.

FAhtisham/DNA-CONV-NET-

FAhtisham/DNABERT

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

FAhtisham/dnabert-1

FAhtisham/Enhancer-GANs

The repository contains the codes for the generation of Enhancer sequences with the help of convolution operations.

FAhtisham/Enhancer-non-enhancer-prediction

FAhtisham/examples

FAhtisham/FAhtisham

FAhtisham/fbgan

FAhtisham/Flow-Based-Generative-Modeling

FAhtisham/Graph-Neural-Networks-

FAhtisham/Pirna-Prediction

This repo contains the codes for pirna prediction

FAhtisham/Promoter-Prediction

The repository contains codes related to Promoter Prediction using, CNN, lstm, Bert, ML classifier etc.

FAhtisham/Protein-Crotonylation

The repository contains the codes to predict protein crotonylation, existing methods like DEEPKCR and performance values of existing approaches also have been provided here.

FAhtisham/RPC-Net

An implementation of the paper "A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC)" DOI: 10.1109/ACCESS.2020.3037642

FAhtisham/Test-CRISPR

Course assignment (W2vec CRISPR)

FAhtisham/Word2vec-

Word2vec implementation in numpy