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Albert Steppi's Projects

adeft icon adeft

Utility for disambiguating abbreviations in biological texts

arviz icon arviz

Exploratory analysis of Bayesian models with Python

biomappings icon biomappings

Community curated equivalences and related mappings between named biological entities

boost icon boost

Super-project for modularized Boost

covid-19 icon covid-19

Scripts and other utilities relevant to the CORD-19 dataset

cython icon cython

The most widely used Python to C compiler

devdocs icon devdocs

Scipy dev version docs, built automatically on Travis-CI

emmaa icon emmaa

Ecosystem of Machine-maintained Models with Automated Analysis

famplex icon famplex

Resources for grounding biological entities from text and describing their hierarchical relationships.

gilda icon gilda

Grounding of biomedical named entities with contextual disambiguation

indra icon indra

INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly, produce causal graphs and dynamical models.

indra_db icon indra_db

A Database-based knowledge back-end built on and for INDRA. The INDRA Database is a service that can be set up by any user with their own content and knowledge access. Our implementation of the database is the back-end to many of our projects, providing a vast and detailed knowledge base derived from many resources.

indra_db_lite icon indra_db_lite

Work with content from indra_db in a local sqlite database.

mae_lasso icon mae_lasso

Lasso regression with mean absolute error loss function

mparray icon mparray

Array API compliant arrays of arbitrary precision types

mpmath icon mpmath

Python library for arbitrary-precision floating-point arithmetic

numpy icon numpy

The fundamental package for scientific computing with Python.

omicsintegrator icon omicsintegrator

This repository is the working directory for the Garnet-Forest bundle of python scripts for analyzing diverse forms of 'omic' data in a network context.

opaque icon opaque

Outlier Prevalence Analysis for Quantification of Unknown Entities

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