Kluger Lab

Repositories

• DAseq
  R MIT 1 8 2 0 Updated Oct 23, 2020

• DAseq-paper
  R 0 0 0 0 Updated Oct 20, 2020

• stg

  Forked from runopti/stg
  Python MIT 2 0 0 0 Updated Sep 18, 2020

• FIt-SNE

  Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

  visualization big-data t-sne fast-algorithm
  C++ 88 469 14 (1 issue needs help) 1 Updated Jun 26, 2020

• Scripts_Roulis_et_al_2020
  R 0 0 0 0 Updated May 26, 2020

• batchEffectRemoval2020
  Python 0 1 0 0 Updated Apr 16, 2020

• RotationScheduler
  R 0 0 0 0 Updated Apr 13, 2020

• pyFIt-SNE

  Python Wrapper for FIt-SNE
  C++ 7 41 1 1 Updated Jan 7, 2020

• Pembro-Brain-Met-Trial-Nanostring
  0 0 0 0 Updated Aug 14, 2019

• ALRA

  Imputation method for scRNA-seq based on low-rank approximation

  dropout imputation scrna-seq svd matrix-completion
  R MIT 5 29 2 0 Updated Aug 10, 2019

• rpca-mkl

  Implementation of randomized PCA using Intel MKL

  pca randomized-algorithm intel-mkl-library
  C++ 0 1 1 0 Updated Jul 31, 2019

• FIt-SNE-paper
  R 0 3 0 0 Updated Feb 11, 2019

• t-SNE-Heatmaps

  Beta version of 1D t-SNE heatmaps to visualize expression patterns of hundreds of genes simultaneously in scRNA-seq
  R 10 30 0 0 Updated Feb 7, 2019

• IMC-Shoreline
  0 0 0 0 Updated Dec 1, 2018

• ALRA-paper
  R 1 2 0 0 Updated Oct 9, 2018

• SpectralNet

  Deep network that performs spectral clustering
  Python MIT 94 247 12 0 Updated Sep 25, 2018

• Ritornello

  Ritornello is a high fidelity control free ChIP-seq peak calling algorithm
  C++ GPL-3.0 2 13 1 0 Updated Aug 23, 2018

• BatchEffectRemoval
  Python 2 0 0 0 Updated May 11, 2018

• adversarial-examples

  Code to reproduce results in the paper "Defending against Adversarial Images using Basis Functions Transformations"
  Python 4 4 1 0 Updated Apr 16, 2018

• oocPCA

  Out-of-Core Principal Component Analysis
  C++ 2 13 1 0 Updated Dec 25, 2017

• deepcytof

  Forked from hl475/deepcytof
  Python Apache-2.0 12 12 0 0 Updated Mar 15, 2017

• pcafast

  Matlab implementation of a randomized algorithm for principal component analysis
  MATLAB 2 2 0 0 Updated Mar 13, 2017