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1

Discriminative Graph Embedding for Label Propagation

Canh Hao Nguyen, Mamitsuka, H.

Journal:

IEEE Transactions on Neural Networks

Year:

2011

Language:

english

File:

PDF, 455 KB

english, 2011

2

Entry Point to the Sylvian Fissure for the Pterional Transsylvian Approach

Yamahata, H., Tokimura, H., Hirahara, K., Ishii, T., Hanada, T., Hirano, H., Hanaya, R., Sugata, S., Mamitsuka, K., Arita, K.

Journal:

Journal of Neurological Surgery Part A Central European Neurosurgery

Year:

2013

Language:

english

File:

PDF, 293 KB

english, 2013

3

Adaptive edge weighting for graph-based learning algorithms

Karasuyama, Masayuki, Mamitsuka, Hiroshi

Journal:

Machine Learning

Year:

2017

Language:

english

File:

PDF, 1.76 MB

english, 2017

4

Predicting peptides that bind to MHC molecules using supervised learning of hidden markov models

Hiroshi Mamitsuka

Journal:

Proteins: Structure, Function, and Bioinformatics

Year:

1998

Language:

english

File:

PDF, 186 KB

english, 1998

5

Efficiently miningδ-tolerance closed frequent subgraphs

Ichigaku Takigawa, Hiroshi Mamitsuka

Journal:

Machine Learning

Year:

2011

Language:

english

File:

PDF, 1.22 MB

english, 2011

6

On network-based kernel methods for protein-protein interactions with applications in protein functions prediction

Limin Li, Waiki Ching, Yatming Chan, Hiroshi Mamitsuka

Journal:

Journal of Systems Science and Complexity

Year:

2010

Language:

english

File:

PDF, 478 KB

english, 2010

7

Predicting Protein Secondary Structure Using Stochastic Tree Grammars

Naoki Abe, Hiroshi Mamitsuka

Journal:

Machine Learning

Year:

1997

Language:

english

File:

PDF, 441 KB

english, 1997

8

Similarity-based machine learning methods for predicting drug-target interactions: a brief review

Ding, H., Takigawa, I., Mamitsuka, H., Zhu, S.

Journal:

Briefings in Bioinformatics

Year:

2014

Language:

english

File:

PDF, 323 KB

english, 2014

9

Multiple Graph Label Propagation by Sparse Integration

Karasuyama, Masayuki, Mamitsuka, Hiroshi

Journal:

IEEE Transactions on Neural Networks and Learning Systems

Year:

2013

Language:

english

File:

PDF, 3.41 MB

english, 2013

10

Selecting Graph Cut Solutions via Global Graph Similarity

Nguyen, Canh Hao, Wicker, Nicolas, Mamitsuka, Hiroshi

Journal:

IEEE Transactions on Neural Networks and Learning Systems

Year:

2014

Language:

english

File:

PDF, 316 KB

english, 2014

11

A hidden Markov model-based approach for identifying timing differences in gene expression under different experimental factors

Yoneya, T., Mamitsuka, H.

Journal:

Year:

2007

Language:

english

File:

PDF, 260 KB

english, 2007

12

[Methods in Molecular Biology] Data Mining for Systems Biology Volume 1807 (Methods and Protocols) ||

Mamitsuka, Hiroshi

Year:

2018

Language:

english

File:

PDF, 8.19 MB

english, 2018

13

[Methods in Molecular Biology] Data Mining for Systems Biology Volume 1807 (Methods and Protocols) || Analyzing Tandem Mass Spectra Using the DRIP Toolkit: Training, Searching, and Post-Processing

Mamitsuka, Hiroshi

Year:

2018

Language:

english

File:

PDF, 848 KB

english, 2018

14

FullMeSH: Improving Large-Scale MeSH Indexing with Full Text

Dai, Suyang, You, Ronghui, Lu, Zhiyong, Huang, Xiaodi, Mamitsuka, Hiroshi, Zhu, Shanfeng, Murphy, Robert

Journal:

Year:

2019

File:

PDF, 1.48 MB

2019

15

Learning on Hypergraphs with Sparsity

Nguyen, Hao Canh, Mamitsuka, Hiroshi

Journal:

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year:

2020

File:

PDF, 2.89 MB

2020

16

A spectral approach to clustering numerical vectors as nodes in a network

Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka

Journal:

Pattern Recognition

Year:

2011

Language:

english

File:

PDF, 1.17 MB

english, 2011

17

Finding the maximum common subgraph of a partial k-tree and a graph with a polynomially bounded number of spanning trees

Atsuko Yamaguchi, Kiyoko F. Aoki, Hiroshi Mamitsuka

Journal:

Information Processing Letters

Year:

2004

Language:

english

File:

PDF, 147 KB

english, 2004

18

Selecting features in microarray classification using ROC curves

Hiroshi Mamitsuka

Journal:

Pattern Recognition

Year:

2006

Language:

english

File:

PDF, 362 KB

english, 2006

19

TAP Hunter: a SVM-based system for predicting TAP ligands using local description of amino acid sequence

Tze Hau Lam, Hiroshi Mamitsuka, Ee Chee Ren, Joo Chuan Tong

Journal:

Immunome Research

Year:

2010

Language:

english

File:

PDF, 895 KB

english, 2010

20

A markov classification model for metabolic pathways

Timothy Hancock, Hiroshi Mamitsuka

Journal:

Algorithms for Molecular Biology

Year:

2010

Language:

english

File:

PDF, 292 KB

english, 2010

21

HAMSTER: visualizing microarray experiments as a set of minimum spanning trees

Raymond Wan, Larisa Kiseleva, Hajime Harada, Hiroshi Mamitsuka, Paul Horton

Journal:

Source Code for Biology and Medicine

Year:

2009

Language:

english

File:

PDF, 390 KB

english, 2009

22

Active ensemble learning: Application to data mining and bioinformatics

Hiroshi Mamitsuka, Naoki Abe

Journal:

Systems and Computers in Japan

Year:

2007

Language:

english

File:

PDF, 343 KB

english, 2007

23

Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets

Hiroshi Mamitsuka

Journal:

Knowledge and Information Systems

Year:

2006

Language:

english

File:

PDF, 1.18 MB

english, 2006

24

A Case of Pituitary Adenoma Associated with McCune-Albright Syndrome

Seigo Sakaki, Shunichi Yokoyama, Katsuro Mamitsuka, Masaki Nakayama, Masamichi Goto, Jun-ichi Kuratsu

Journal:

Year:

1999

Language:

english

File:

PDF, 274 KB

english, 1999

25

Prediction of MHC Class I Binding Peptides by a Query Learning Algorithm Based on Hidden Markov Models

Keiko Udaka, Hiroshi Mamitsuka, Yukinobu Nakaseko, Naoki Abe

Journal:

Journal of Biological Physics

Year:

2002

Language:

english

File:

PDF, 126 KB

english, 2002

26

Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools

Zhang, L., Udaka, K., Mamitsuka, H., Zhu, S.

Journal:

Briefings in Bioinformatics

Year:

2012

Language:

english

File:

PDF, 431 KB

english, 2012

27

A review of statistical methods for prediction of proteolytic cleavage

duVerle, D. A., Mamitsuka, H.

Journal:

Briefings in Bioinformatics

Year:

2012

Language:

english

File:

PDF, 525 KB

english, 2012

28

Clustering genes with expression and beyond

Motoki Shiga, Hiroshi Mamitsuka

Journal:

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Year:

2011

Language:

english

File:

PDF, 338 KB

english, 2011

29

Finding the biologically optimal alignment of multiple sequences

Hiroshi Mamitsuka

Journal:

Artificial Intelligence in Medicine

Year:

2005

Language:

english

File:

PDF, 323 KB

english, 2005

30

Computational intelligence in solving bioinformatics problems

Krzysztof J. Cios, Hiroshi Mamitsuka, Tomomasa Nagashima, Ryszard Tadeusiewicz

Journal:

Artificial Intelligence in Medicine

Year:

2005

Language:

english

File:

PDF, 114 KB

english, 2005

31

Informatic innovations in glycobiology: relevance to drug discovery

Hiroshi Mamitsuka

Journal:

Drug Discovery Today

Year:

2008

Language:

english

File:

PDF, 489 KB

english, 2008

32

Field independent probabilistic model for clustering multi-field documents

Shanfeng Zhu, Ichigaku Takigawa, Jia Zeng, Hiroshi Mamitsuka

Journal:

Information Processing & Management

Year:

2009

Language:

english

File:

PDF, 259 KB

english, 2009

33

Ensemble approaches for improving HLA Class I-peptide binding prediction

Xihao Hu, Hiroshi Mamitsuka, Shanfeng Zhu

Journal:

Journal of Immunological Methods

Year:

2011

Language:

english

File:

PDF, 174 KB

english, 2011

34

Efficient semi-supervised learning on locally informative multiple graphs

Motoki Shiga, Hiroshi Mamitsuka

Journal:

Pattern Recognition

Year:

2012

Language:

english

File:

PDF, 1.17 MB

english, 2012

35

Mining new protein-protein interactions

Journal:

IEEE Engineering in Medicine and Biology Magazine

Year:

2005

Language:

english

File:

PDF, 1.09 MB

english, 2005

36

31P and 1H Magnetic Resonance Spectroscopy of Epileptic Brain.

Katsumi Nakamura, Tetsuhiko Asakura, Masaki Niiro, Wataru Hira-kawa, Akihiro Haruzono, Katsuro Mamitsuka, Toshiro Fujimoto

Journal:

Year:

1996

Language:

english

File:

PDF, 210 KB

english, 1996

37

Predicting implicit associated cancer genes from OMIM and MEDLINE by a new probabilistic model

Shanfeng Zhu, Yasushi Okuno, Gozoh Tsujimoto, Hiroshi Mamitsuka

Journal:

BMC Systems Biology

Year:

2007

Language:

english

File:

PDF, 170 KB

english, 2007

38

Mining from protein–protein interactions

Hiroshi Mamitsuka

Journal:

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Year:

2012

Language:

english

File:

PDF, 294 KB

english, 2012

39

Study of the distribution of induced eddy currents in the vicinity of foramen magnum for the head model by magnetic stimulation

K. Yunokuchi, H. Yoshida, K. Mamitsuka, T. Asakura

Journal:

Electroencephalography and Clinical Neurophysiology

Year:

1996

Language:

english

File:

PDF, 131 KB

english, 1996

40

PS-44-11 Estimation of focal magnetic stimulation in the peripheral nerve model

Kazutomo Yunokuchi, Katsurou Mamitsuka, Tetsuhiko Asakura

Journal:

Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control

Year:

1995

Language:

english

File:

PDF, 252 KB

english, 1995

41

Understanding the substrate specificity of conventional calpains

Sorimachi, Hiroyuki, Mamitsuka, Hiroshi, Ono, Yasuko

Journal:

Biological Chemistry

Year:

2012

Language:

english

File:

PDF, 1.95 MB

english, 2012

42

Latent Feature Kernels for Link Prediction on Sparse Graphs

Canh Hao Nguyen,, Mamitsuka, H.

Journal:

IEEE Transactions on Neural Networks and Learning Systems

Year:

2012

Language:

english

File:

PDF, 716 KB

english, 2012

43

[Methods in Molecular Biology] Data Mining for Systems Biology Volume 939 || Discovering Interacting Domains and Motifs in Protein–Protein Interactions

Mamitsuka, Hiroshi, DeLisi, Charles, Kanehisa, Minoru

Year:

2013

Language:

english

File:

PDF, 580 KB

english, 2013

44

Mining metabolic pathways through gene expression

Hancock, T., Takigawa, I., Mamitsuka, H.

Journal:

Year:

2010

Language:

english

File:

PDF, 1.35 MB

english, 2010

45

A new method of presurgical evaluation of partial epilepsy with 31P MRS/CSI

KATSUMI NAKAMURA, TETSUHIKO ASAKURA, MASAKI NIIRO, WATARU HIRAKAWA, AKIHIRO HARUZONO, KATSURO MAMITSUKA, TOSHIRO FUJIMOTO

Journal:

Psychiatry and Clinical Neurosciences

Year:

1995

Language:

english

File:

PDF, 628 KB

english, 1995

46

A new dissimilarity measure for comparing labeled graphs

Wicker, Nicolas, Nguyen, Canh Hao, Mamitsuka, Hiroshi

Journal:

Linear Algebra and its Applications

Year:

2013

Language:

english

File:

PDF, 324 KB

english, 2013

47

[Methods in Molecular Biology] Data Mining for Systems Biology Volume 939 || Supervised Inference of Gene Regulatory Networks from Positive and Unlabeled Examples

Mamitsuka, Hiroshi, DeLisi, Charles, Kanehisa, Minoru

Year:

2013

Language:

english

File:

PDF, 170 KB

english, 2013

48

[Methods in Molecular Biology] Data Mining for Systems Biology Volume 939 || Global Alignment of Protein–Protein Interaction Networks

Mamitsuka, Hiroshi, DeLisi, Charles, Kanehisa, Minoru

Year:

2013

Language:

english

File:

PDF, 130 KB

english, 2013

49

[Methods in Molecular Biology] Data Mining for Systems Biology Volume 939 || Structure Learning for Bayesian Networks as Models of Biological Networks

Mamitsuka, Hiroshi, DeLisi, Charles, Kanehisa, Minoru

Year:

2013

Language:

english

File:

PDF, 179 KB

english, 2013

50

[Methods in Molecular Biology] Data Mining for Systems Biology Volume 939 || Dense Module Enumeration in Biological Networks

Mamitsuka, Hiroshi, DeLisi, Charles, Kanehisa, Minoru

Year:

2013

Language:

english

File:

PDF, 217 KB

english, 2013

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