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A new correlation clustering method for cancer mutation analysis

A new correlation clustering method for cancer mutation analysis

25 January 2016
Jack P. Hou
A. Emad
Gregory J. Puleo
Jian Ma
O. Milenkovic
ArXiv (abs)PDFHTML

Papers citing "A new correlation clustering method for cancer mutation analysis"

6 / 6 papers shown
Title
Correlation Clustering via Strong Triadic Closure Labeling: Fast
  Approximation Algorithms and Practical Lower Bounds
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
Nate Veldt
85
23
0
20 Nov 2021
Differentially Private Correlation Clustering
Differentially Private Correlation Clustering
Mark Bun
Marek Eliáš
Janardhan Kulkarni
78
20
0
17 Feb 2021
Fair Correlation Clustering
Fair Correlation Clustering
Sara Ahmadian
Alessandro Epasto
Ravi Kumar
Mohammad Mahdian
FaML
58
68
0
06 Feb 2020
Correlation Clustering and Biclustering with Locally Bounded Errors
Correlation Clustering and Biclustering with Locally Bounded Errors
Gregory J. Puleo
O. Milenkovic
58
40
0
26 Jun 2015
CoMEt: A Statistical Approach to Identify Combinations of Mutually
  Exclusive Alterations in Cancer
CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer
Mark D. M. Leiserson
Hsin-Ta Wu
Fabio Vandin
Benjamin J. Raphael
45
206
0
27 Mar 2015
Correlation Clustering with Constrained Cluster Sizes and Extended
  Weights Bounds
Correlation Clustering with Constrained Cluster Sizes and Extended Weights Bounds
Gregory J. Puleo
O. Milenkovic
95
40
0
03 Nov 2014
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