Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification?

Por Statnikov, Alexander, Aliferis, Constantin F.
Publicado em 2007

Analysis and Computational Dissection of Molecular Signature Multiplicity

Por Statnikov, Alexander, Aliferis, Constantin F.
Publicado em 2010

Computational Methods for Unraveling Temporal Brain Connectivity Data

Por Ray, Bisakha, Statnikov, Alexander, Aliferis, Constantin
Publicado no AMIA Annu Symp Proc (2015)

A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents

Por Aphinyanaphongs, Yindalon, Statnikov, Alexander, Aliferis, Constantin F.
Publicado em 2006

Using the GEMS System for Supervised Analysis of Cancer Microarray Gene Expression Data

Por Statnikov, Alexander, Tsamardinos, Ioannis, Aliferis, Constantin F.
Publicado em 2005

Effects of Environment, Genetics and Data Analysis Pitfalls in an Esophageal Cancer Genome-Wide Association Study

Por Statnikov, Alexander, Li, Chun, Aliferis, Constantin F.
Publicado em 2007

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

Por Statnikov, Alexander, Wang, Lily, Aliferis, Constantin F
Publicado em 2008

Challenges in the Analysis of Mass-Throughput Data: A Technical Commentary from the Statistical Machine Learning Perspective

Por Aliferis, Constantin F., Statnikov, Alexander, Tsamardinos, Ioannis
Publicado em 2007

The FAST-AIMS Clinical Mass Spectrometry Analysis System

Por Fananapazir, Nafeh, Statnikov, Alexander, Aliferis, Constantin F.
Publicado em 2009

Assessing quality and completeness of human transcriptional regulatory pathways on a genome-wide scale

Por Aifantis Iannis, Tang Zuojian, Shmelkov Evgeny, Statnikov Alexander
Publicado em 2011-02-01

Assessing quality and completeness of human transcriptional regulatory pathways on a genome-wide scale

Por Shmelkov, Evgeny, Tang, Zuojian, Aifantis, Iannis, Statnikov, Alexander
Publicado em 2011

De-Novo Learning of Genome-Scale Regulatory Networks in S. cerevisiae

Por Ma, Sisi, Kemmeren, Patrick, Gresham, David, Statnikov, Alexander
Publicado em 2014

An Evaluation of Active Learning Causal Discovery Methods for Reverse-Engineering Local Causal Pathways of Gene Regulation

Por Ma, Sisi, Kemmeren, Patrick, Aliferis, Constantin F., Statnikov, Alexander
Publicado no Sci Rep (2016)

Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases

Por Duda, Stephany, Aliferis, Constantin, Miller, Randolph, Statnikov, Alexander, Johnson, Kevin
Publicado em 2005

Improving development of the molecular signature for diagnosis of acute respiratory viral infections

Por Statnikov, Alexander, McVoy, Lauren, Lytkin, Nikita, Aliferis, Constantin F.
Publicado em 2010

A comprehensive assessment of methods for de-novo reverse-engineering of genome-scale regulatory networks

Por Narendra, Varun, Lytkin, Nikita I., Aliferis, Constantin F., Statnikov, Alexander
Publicado em 2010

New methods for separating causes from effects in genomics data

Por Statnikov, Alexander, Henaff, Mikael, Lytkin, Nikita I, Aliferis, Constantin F
Publicado em 2012

Algorithms for Discovery of Multiple Markov Boundaries

Por Statnikov, Alexander, Lytkin, Nikita I., Lemeire, Jan, Aliferis, Constantin F.
Publicado em 2013

Text Categorization Models for High-Quality Article Retrieval in Internal Medicine

Por Aphinyanaphongs, Yindalon, Tsamardinos, Ioannis, Statnikov, Alexander, Hardin, Douglas, Aliferis, Constantin F.
Publicado em 2005

Quantitative Forecasting of PTSD from Early Trauma Responses: A Machine Learning Application

Por Galatzer-Levy, Isaac R., Karstoft, Karen-Inge, Statnikov, Alexander, Shalev, Arieh Y.
Publicado no J Psychiatr Res (2014)