Boxiang Liu (boxiangliu)

boxiangliu

Geek Repo

Company:National University of Singapore

Location:Singapore

Home Page:boxiangliulab.com

Twitter:@boxiangliu

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Organizations
uw-loci

Boxiang Liu's repositories

locuscomparer

LocusCompareR is a R package with visualization tools for comparing two genetic association datasets.

ParaMed

Chinese to English medical translation

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locuscompare

LocusCompare is an interactive visualization tool for comparing two genetic association datasets.

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manhattan

ggplot2-based Manhattan plot

enformer

Forked from https://github.com/deepmind/deepmind-research/

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spliceAI-pytorch

Pytorch implementation of spliceAI

Intro-to-Genomics

Course material for "BIOS 201: Next-generation sequencing and applications"

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Pangolin

Pangolin is a deep-learning method for predicting splice site strengths.

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sim_anneal

Simulated annealing for codon optimization

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alphafold

Open source code for AlphaFold.

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boxiangliu.github.io

Boxiang's academic website

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cpi_contact

Compound Protein Contact Prediction

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DLEPS

A Deep Learning based Efficacy Prediction System for drug discovery

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esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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idr-notebooks

Jupyter Notebooks for the Image Data Resource

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Markov-Random-Field-Project

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

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mutational-semantics-neurips2020

Learning mutational semantics

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onek1k_phase1

Contains code to analyze the OneK1K data and perform eQTL mapping of 14 cell types

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pytorch-lr-finder

A learning rate range test implementation in PyTorch

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pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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pytorch_lightning_mnist

MNIST model in Pytorch lightning

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SpliZ

Nextflow implementation of SpliZ

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tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

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trRosetta

A package to predict protein inter-residue geometries from sequence data

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