Exploring dimension-reduced embeddings

Overview

Travis Build Status CRAN_Status_Badge Downloads

sleepwalk

Exploring dimension-reduced embeddings

This is the code repository. See here for the Sleepwalk web page.

License and disclaimer

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Comments
  • Error running sleepwalk: cannot open the connection

    Error running sleepwalk: cannot open the connection

    Dear sleepwalk developers, Thanks a lot for providing such nice method. I could install the package but I get the following error when I tried to run:

    > sleepwalk([email protected][email protected], [email protected][email protected])
    Estimating 'maxdist' for feature matrix 1
    Server has been stopped.
    Server has been stopped.
    Error in app$openPage(useViewer, browser) : 
      Timeout waiting for websocket.
    In addition: Warning messages:
    1: In file(con, "r") :
      cannot open file 'sleepwalk_canvas.html': No such file or directory
    2: In func(req) : File '/favicon.ico' is not found
    

    I know this is probably not a sleepwalk specific error, but I couldn't find a solution for this. Any hints/help on how to fix this issue?

    Also, I have a question about the output. Besides using the interactive mode to manually inspect cells that might be "misplaced" on the reduced-dimension space, I would like to systematically find the cells that don't quite fit to the clusters they were originally assigned to. In other words, how would you suggest to use sleepwalk to refine my clustering since I suspect that many of my cells were wrongly assigned to their clusters. I am using Seurat package to reduce dimension and clustering.

    Thank you very much, Gustavo

    opened by gufranca 2
  • Error: 'browser' must be a non-empty character string

    Error: 'browser' must be a non-empty character string

    Hello,

    After calling the sleepwalk function on a Seurat object, I got this error:

    > sleepwalk( as.matrix([email protected][email protected]), as.matrix([email protected][email protected]) )
    
    Estimating 'maxdist' for feature matrix 1
    Error in browseURL(str_c("http://localhost:", port, "/", pageobj$startPage),  :
      'browser' must be a non-empty character string
    

    I have loaded the stringr library (containing the function str_c()), and I cannot find the file originating this error. Can I ask if someone had this problem at some point?

    Thank you

    opened by PedroRaposo 2
  • slw_on_selection error when sleepwalk is not attached

    slw_on_selection error when sleepwalk is not attached

    Running sleepwalk without attaching the package (i.e., NOT specifying library(sleepwalk)) like this works fine:

    sleepwalk::sleepwalk(se[email protected][email protected], t([email protected][[email protected],]))

    But the moment you select cells with your mouse, it crashed (browser tab closes) and R gives this error:

    Error in slw_on_selection(selPoints, 1) : could not find function "slw_on_selection"

    Loading the package using library(sleepwalk) solves the issue, but it'd be nice if it weren't necessary.

    opened by FelixTheStudent 0
  • doc for comparison

    doc for comparison

    The example on the web page for comparing two embeddings still uses the old version where both distances are used concurrently. We also need to change the explanation below to say that the same cell always has the same colour in all embeddings

    opened by simon-anders 0
  • Suggestion: Link embeddings from transposed table

    Suggestion: Link embeddings from transposed table

    Let say I have e.g. a matrix where I have individuals (cells e.g.) as rows and features as columns, and then run a UMAP on both the ordinary matrix, and the transposed one. Then it would be natural to want to look at the individual UMAP with the default usage (the distances to other individuals), but it would also be interesting to see the features for that individual (and vice versa).

    Is it clear what I mean?

    opened by StaffanBetner 2
Releases(v0.3.2)
  • v0.3.2(Sep 17, 2021)

    • jrc now (v.0.5.0) uses setLimits function for all the security restriction. This update fixes the dependency problem caused by that change.
    Source code(tar.gz)
    Source code(zip)
  • v0.3.1(Sep 30, 2020)

  • v.0.3.0(Feb 27, 2020)

    • New argument metric allows to use angular distance (metric = "cosine") as an alternative to default Euclidean distance (meric = "euclid").

    • If compare = "distances", it is no longer required to provide several embeddings. If only one embedding is given, it will be used for all the distances.

    Source code(tar.gz)
    Source code(zip)
  • v0.2.1(Oct 2, 2019)

    • Changes due to an update of the jrc package.

    • Indices of selected points are no longer stored in a variable and can be accessed only via the callback function. Thus, no changes to the global environment are made, unless user specifies them his- or herself.

    • Added the possibility to pass arguments to jrc::openPage (such as port number or browser in which to open the app.)

    Source code(tar.gz)
    Source code(zip)
  • v0.2.0(Sep 27, 2019)

    • Now HTML Canvas is used to plot the embedding. It makes Sleepwalk faster and allows to simultaneously display more points.

    • New parameter mode = c("canvas", "svg") is added, that allows user to go back to the old SVG-based version of Sleepwalk app.

    • Bug in slw_snapshot is fixed. The function no longer returns a list of identical plots, when used with several different embeddings.

    Source code(tar.gz)
    Source code(zip)
Owner
S. Anders's research group at ZMBH
S. Anders's research group at ZMBH
A very simple framework for state-of-the-art Natural Language Processing (NLP)

A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. IMPORTANT: (30.08.2020) We moved our models

flair 12.3k Dec 31, 2022
A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.

blurr A library that integrates huggingface transformers with version 2 of the fastai framework Install You can now pip install blurr via pip install

ohmeow 253 Dec 31, 2022
PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

VAENAR-TTS - PyTorch Implementation PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Keon Lee 67 Nov 14, 2022
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

420 Dec 28, 2022
BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network)

BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network) BERTAC is a framework that combines a

6 Jan 24, 2022
A curated list of efficient attention modules

awesome-fast-attention A curated list of efficient attention modules

Sepehr Sameni 891 Dec 22, 2022
ConvBERT-Prod

ConvBERT 目录 0. 仓库结构 1. 简介 2. 数据集和复现精度 3. 准备数据与环境 3.1 准备环境 3.2 准备数据 3.3 准备模型 4. 开始使用 4.1 模型训练 4.2 模型评估 4.3 模型预测 5. 模型推理部署 5.1 基于Inference的推理 5.2 基于Serv

yujun 7 Apr 08, 2022
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode

Alibaba 1.4k Jan 04, 2023
MHtyper is an end-to-end pipeline for recognized the Forensic microhaplotypes in Nanopore sequencing data.

MHtyper is an end-to-end pipeline for recognized the Forensic microhaplotypes in Nanopore sequencing data. It is implemented using Python.

willow 6 Jun 27, 2022
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect

Intel Labs 2.9k Dec 31, 2022
ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python) 日本語は以下に続きます (Japanese follows) English: This book is written in Japanese and primaril

Ryuichi Yamamoto 189 Dec 29, 2022
ETM - R package for Topic Modelling in Embedding Spaces

ETM - R package for Topic Modelling in Embedding Spaces This repository contains an R package called topicmodels.etm which is an implementation of ETM

bnosac 37 Nov 06, 2022
Korean extractive summarization. 2021 AI 텍스트 요약 온라인 해커톤 화성갈끄니까팀 코드

korean extractive summarization 2021 AI 텍스트 요약 온라인 해커톤 화성갈끄니까팀 코드 Leaderboard Notice Text Summarization with Pretrained Encoders에 나오는 bertsumext모델(ext

3 Aug 10, 2022
ADCS cert template modification and ACL enumeration

Purpose This tool is designed to aid an operator in modifying ADCS certificate templates so that a created vulnerable state can be leveraged for privi

Fortalice Solutions, LLC 78 Dec 12, 2022
Spacy-ginza-ner-webapi - Named Entity Recognition API with spaCy and GiNZA

Named Entity Recognition API with spaCy and GiNZA I wrote a blog post about this

Yuki Okuda 3 Feb 27, 2022
中文空间语义理解评测

中文空间语义理解评测 最新消息 2021-04-10 🚩 排行榜发布: Leaderboard 2021-04-05 基线系统发布: SpaCE2021-Baseline 2021-04-05 开放数据提交: 提交结果 2021-04-01 开放报名: 我要报名 2021-04-01 数据集 pa

40 Jan 04, 2023
Open Source Neural Machine Translation in PyTorch

OpenNMT-py: Open-Source Neural Machine Translation OpenNMT-py is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine trans

OpenNMT 5.8k Jan 04, 2023
State-of-the-art NLP through transformer models in a modular design and consistent APIs.

Trapper (Transformers wRAPPER) Trapper is an NLP library that aims to make it easier to train transformer based models on downstream tasks. It wraps h

Open Business Software Solutions 42 Sep 21, 2022
MMDA - multimodal document analysis

MMDA - multimodal document analysis

AI2 75 Jan 04, 2023