tmbj-jerry Goto Github PK

aptamerbase

Aptamers are single-stranded nucleic acid or amino acid polymers that recognize and bind to targets with high affinity and selectivity. The Aptamer Base is a database of detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified.

bidd-molmap

MolMap: An Efficient Convolutional Neural Network Based Molecular Deep Learning Tool

biox

ccst

Cell clustering for spatial transcriptomics data with graph neural network

cnn-vae

Variational Autoencoder (VAE) with perception loss implementation in pytorch

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

dnaffinity

docking_md

generating-and-designing-dna

Code for the paper "Generating and designing DNA with deep generative models" (arXiv:1712.06148)

keras-gan

Keras implementations of Generative Adversarial Networks.

ml

经典机器学习算法的极简实现

ml-methods

General methods for machine learning for digital biomarker discovery.

moo-dl-practice

my deep learning practices

paddlehelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

pharmacokinetic_prediction

Prediction of intravenous pharmacokinetic parameters, including fu, MRT, t1/2, VD and CL, by training on 1352 compounds.

pycaret-docs

pycaret-docs

pywgcna

PyWGCNA is a Python package designed to do Weighted correlation network analysis (WGCNA)

raw_data-process

rdkit_summary

rdkit总结与实践

schrodinger-script

Some scripts to run Schrödinger jobs on HPC or localhost.

scythe

A 3'-end adapter contaminant trimmer

seqtk

Toolkit for processing sequences in FASTA/Q formats

sickle

Windowed Adaptive Trimming for fastq files using quality

spacell

statistics_notes

Y叔的统计笔记

trimgalore

A wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for RRBS data

wgcna