motif-discovery 开源项目推荐（105 个）

stumpy-dev /stumpy

STUMPY是一个强大且可扩展的Python库，用于现代时间序列分析

target /matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

matrix-profile-foundation /matrixprofile

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

matrix-profile-foundation /go-matrixprofile

golang library for computing matrix profiles along with other time series analysis features

aplbrain /dotmotif

A performant, powerful query framework to search for network motifs

akardapolov /dimension-ui

Dimension UI is a desktop application designed to collect, store, visualize, and analyze time series data

GreenleafLab /motifmatchr

Fast motif matching in R

patrickzib /motiflets

Motiflets

ML-KULeuven /locomotif

LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warping

baggepinnen /MatrixProfile.jl

Time-series analysis using the Matrix profile in Julia

asntech /pyjaspar

pyJASPAR: A Pythonic interface to JASPAR transcription factor motifs

cefet-rj-dal /harbinger

Harbinger is a framework for event detection in time series

ksanjeevan /ts-motif-detection

Time Series Motif Detection in Python

shao-lab /MotifScan

A motif discovery tool to detect the occurrences of known motifs

soedinglab /BaMMmotif2

Bayesian Markov Model motif discovery tool version 2 - An expectation maximization algorithm for the de novo discovery of enriched motifs as modelled by higher-order Markov models.

microsoft /BindVAE

Variational Auto Encoders for learning binding signatures of transcription factors

macks22 /motif-classify

Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.

Kyubyong /neurobind

Yet Another Model Using Neural Networks for Predicting Binding Preferences of for Test DNA Sequences

eduardogade /Olympus

A unified framework for discovering, analyzing, integrating, and visualizing regulatory motifs and transcription factor binding sites across bulk, single-cell, and long-read sequencing modalities.

grrvlr /TSMD

The TSMD project brings together Motif Discovery methods for Time Series, aiming to compare their performance through well-defined research questions and to simplify their practical use. It provides both guidelines for selecting the most suitable methods based on the data, and accessible implementations of the most relevant approaches.