Jake Lever (jakelever)

jakelever

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Company:University of Glasgow

Location:Glasgow, Scotland

Home Page:https://jakelever.github.io/

Twitter:@jakelever0

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Jake Lever's repositories

knowledgediscovery

Analysis code for knowledge discovery project

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VERSE

Vancouver Event and Relation System for Extraction

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brokenlinks

Tool for scanning a website for broken links

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ubcthesis_bookdown

Skeleton code for a UBC thesis using R bookdown

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OpenSesamIE

A Open Information Extraction tool for extracting relations from text

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Ab3P

Abbreviation definition dection library trained on PubMed abstracts

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bio2vec

Scripts to run word2vec on PubMed corpus files

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blah4

Code for BLAH4 hackathon project in Kashiwa, Japan - Knowledge discovery with relations

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foodrelations

Nutrigenomics example text mining project using PubRunner

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thesis

My PhD thesis on biomedical text mining

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tumorantigens

Text mining tumor antigens for cancer immunotherapy research

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bionlp.bcgsc.ca

Website for BioNLP research at the Genome Sciences Centre in Vancouver

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bookdown

Authoring Books and Technical Documents with R Markdown

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CountWords

Dummy text mining tool for testing ideas

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git-novice-es

Software Carpentry lección para control de versiones con Git

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hg-novice

Software Carpentry introduction to Mercurial for novices.

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homebrew-xorg

:heavy_multiplication_x: :penguin: X.Org implementation of the X Window System

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linuxbrewFun

A small test environment for LinuxBrew with Docker

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make-novice

Novice lesson on Make

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matlab-novice-inflammation

Software Carpentry introduction to MATLAB for novices using inflammation data.

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nltk

NLTK Source

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PowerGraph

PowerGraph: A framework for large-scale machine learning and graph computation.

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PSST

Polygenic SNP Search Tool

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shell-novice-es

Software Carpentry lección para la terminal de Unix

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sql-novice-survey

Software Carpentry introduction to SQL for novices.

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tree2maze

Let's get lost in a maze!

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word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

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