Ngā hua rapu kaituhi

1

Small sample issues for microarray‐based classification mā Edward R. Dougherty

I whakaputaina 2001

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
2

Classification with reject option in gene expression data mā Blaise Hanczar, Edward R. Dougherty

I whakaputaina 2008

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
3

The impact of function perturbations in Boolean networks mā Yufei Xiao, Edward R. Dougherty

I whakaputaina 2007

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
4

What should be expected from feature selection in small-sample settings mā Chao Sima, Edward R. Dougherty

I whakaputaina 2006

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
5

Probabilistic Boolean Networks mā Ilya Shmulevich, Edward R. Dougherty

I whakaputaina 2010

Whiwhi kuputuhi katoa
Livro

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I tiakina i:
6

Is cross-validation valid for small-sample microarray classification? mā Ulisses Braga-Neto, Edward R. Dougherty

I whakaputaina 2004

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
7

Effect of separate sampling on classification accuracy mā Mohammad Shahrokh Esfahani, Edward R. Dougherty

I whakaputaina 2013

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
8

Gene perturbation and intervention in probabilistic Boolean networks mā Ilya Shmulevich, Edward R. Dougherty, Wei Zhang

I whakaputaina 2002

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
9

Accurate and Reliable Cancer Classification Based on Probabilistic Inference of Pathway Activity mā Junjie Su, Byung-Jun Yoon, Edward R. Dougherty

I whakaputaina 2009

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
10

Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network mā Junjie Su, Byung-Jun Yoon, Edward R. Dougherty

I whakaputaina 2010

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
11

Tē wātea te taitara mā Aniruddha Datta, Ashish Choudhary, Michael Bittner, Edward R. Dougherty

I whakaputaina 2003

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
12

Intervention in context-sensitive probabilistic Boolean networks mā Ranadip Pal, Aniruddha Datta, Michael Bittner, Edward R. Dougherty

I whakaputaina 2004

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
13

External control in Markovian genetic regulatory networks: the imperfect information case mā Aniruddha Datta, Ashish Choudhary, Michael Bittner, Edward R. Dougherty

I whakaputaina 2004

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
14

Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks mā Ilya Shmulevich, Edward R. Dougherty, Seungchan Kim, Wei Zhang

I whakaputaina 2002

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
15

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors mā Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty

I whakaputaina 2017

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
16

The role of certain Post classes in Boolean network models of genetic networks mā Ilya Shmulevich, Harri Lähdesmäki, Edward R. Dougherty, Jaakko Astola, Wei Zhang

I whakaputaina 2003

Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
17

Steady‐state analysis of genetic regulatory networks modelled by probabilistic Boolean networks mā Ilya Shmulevich, Ilya Gluhovsky, Ronaldo F. Hashimoto, Edward R. Dougherty, Wei Zhang

I whakaputaina 2003

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
18

A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks mā Xiaobo Zhou, Xiaodong Wang, Ranadip Pal, Ivan Ivanov, Michael Bittner, Edward R. Dougherty

I whakaputaina 2004

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
19

Growing genetic regulatory networks from seed genes mā Ronaldo F. Hashimoto, Seungchan Kim, Ilya Shmulevich, Wei Zhang, Michael Bittner, Edward R. Dougherty

I whakaputaina 2004

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
20

Small-sample precision of ROC-related estimates mā Blaise Hanczar, Jianping Hua, Chao Sima, John N. Weinstein, Michael Bittner, Edward R. Dougherty

I whakaputaina 2010

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:

Ngā hua rapu - Edward R. Dougherty

Small sample issues for microarray‐based classification mā Edward R. Dougherty

Classification with reject option in gene expression data mā Blaise Hanczar, Edward R. Dougherty

The impact of function perturbations in Boolean networks mā Yufei Xiao, Edward R. Dougherty

What should be expected from feature selection in small-sample settings mā Chao Sima, Edward R. Dougherty

Probabilistic Boolean Networks mā Ilya Shmulevich, Edward R. Dougherty

Is cross-validation valid for small-sample microarray classification? mā Ulisses Braga-Neto, Edward R. Dougherty

Effect of separate sampling on classification accuracy mā Mohammad Shahrokh Esfahani, Edward R. Dougherty

Gene perturbation and intervention in probabilistic Boolean networks mā Ilya Shmulevich, Edward R. Dougherty, Wei Zhang

Accurate and Reliable Cancer Classification Based on Probabilistic Inference of Pathway Activity mā Junjie Su, Byung-Jun Yoon, Edward R. Dougherty

Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network mā Junjie Su, Byung-Jun Yoon, Edward R. Dougherty

Tē wātea te taitara mā Aniruddha Datta, Ashish Choudhary, Michael Bittner, Edward R. Dougherty

Intervention in context-sensitive probabilistic Boolean networks mā Ranadip Pal, Aniruddha Datta, Michael Bittner, Edward R. Dougherty

External control in Markovian genetic regulatory networks: the imperfect information case mā Aniruddha Datta, Ashish Choudhary, Michael Bittner, Edward R. Dougherty

Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks mā Ilya Shmulevich, Edward R. Dougherty, Seungchan Kim, Wei Zhang

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors mā Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty

The role of certain Post classes in Boolean network models of genetic networks mā Ilya Shmulevich, Harri Lähdesmäki, Edward R. Dougherty, Jaakko Astola, Wei Zhang

Steady‐state analysis of genetic regulatory networks modelled by probabilistic Boolean networks mā Ilya Shmulevich, Ilya Gluhovsky, Ronaldo F. Hashimoto, Edward R. Dougherty, Wei Zhang

A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks mā Xiaobo Zhou, Xiaodong Wang, Ranadip Pal, Ivan Ivanov, Michael Bittner, Edward R. Dougherty

Growing genetic regulatory networks from seed genes mā Ronaldo F. Hashimoto, Seungchan Kim, Ilya Shmulevich, Wei Zhang, Michael Bittner, Edward R. Dougherty

Small-sample precision of ROC-related estimates mā Blaise Hanczar, Jianping Hua, Chao Sima, John N. Weinstein, Michael Bittner, Edward R. Dougherty

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