Cleaning up the record on the maximal information coefficient and equitability

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 33, 2014, Pages

  Reshef, David N ^a,b   Reshef, Yakir A ^a,b   Mitzenmacher, Michael ^c   Sabeti, Pardis C ^d,e  

^a Department of Electrical Engineering and Computer Science   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c HARVARD UNIVERSITY   (United States)

^d HARVARD UNIVERSITY   (United States)

^e BROAD INSTITUTE OF MIT AND HARVARD   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLEANING; COMPARATIVE STUDY; FOLLOW UP; INFORMATION PROCESSING; LETTER; MAXIMAL INFORMATION COEFFICIENT; NOISE; PRIORITY JOURNAL; SAMPLE SIZE; SIMULATION;

DATA INTERPRETATION, STATISTICAL; INFORMATION THEORY; STATISTICS AS TOPIC;

EID: 84906328216     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1408920111     Document Type: Letter

References (5)

1. Reshef DN, et al. (2011) Detecting novel associations in large data sets. Science 334(6062):1518-1524.
2. Kinney JB, Atwal GS (2014) Equitability, mutual information, and the maximal information coefficient. Proc Natl Acad Sci USA 111(9):3354-3359.
3. 2-equitability is satisfiable. Proc Natl Acad Sci USA 111(21):E2160.
4. Reshef DN, Reshef YA, Mitzenmacher M, Sabeti PC (2013) Equitability analysis of the maximal information coefficient with comparisons. arXiv:1301.6314v2 [cs.LG].
5. Kinney JB, Gurinder SA (2014) Reply to Murrell et al.: Noise matters. Proc Natl Acad Sci USA 111(21):E2161.