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ORCIDBioData Mining, Volume 9
Volume 9, 2016
- Shannon M. Lynch, Jason H. Moore
:
A call for biological data mining approaches in epidemiology. 1 - Heloisa H. Milioli, Renato Vimieiro, Inna Tishchenko, Carlos Riveros, Regina Berretta, Pablo Moscato:
Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset. 2 - Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen, Casey S. Greene:
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. 3 - Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao:
Prediction of donor splice sites using random forest with a new sequence encoding approach. 4 - Brian S. Finkelman, Benjamin French, Stephen E. Kimmel:
The prediction accuracy of dynamic mixed-effects models in clustered data. 5 - Florian Heinke, Sebastian Bittrich, Florian Kaiser, Dirk Labudde:
SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level. 6 - Silke Szymczak, Emily Rose Holzinger, Abhijit Dasgupta, James D. Malley, Anne M. Molloy, James L. Mills, Lawrence C. Brody, Dwight Stambolian, Joan E. Bailey-Wilson:
r2VIM: A new variable selection method for random forests in genome-wide association studies. 7 - Rajiv Karbhal, Sangeeta Sawant, Urmila Kulkarni-Kale:
Erratum to: BioDB extractor: customized data extraction system for commonly used bioinformatics databases. 8 - Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore:
Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology. 9 - Mona Riemenschneider, Robin Senge, Ursula Neumann, Eyke Hüllermeier, Dominik Heider:
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. 10 - Shan-E-Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, David B. A. Epstein, Tim W. Nattkemper, Nasir M. Rajpoot:
Robust normalization protocols for multiplexed fluorescence bioimage analysis. 11 - Minjun Huang, Britney E. Graham, Ge Zhang, Reed Harder, Nuri Kodaman, Jason H. Moore, Louis J. Muglia, Scott M. Williams:
Evolutionary triangulation: informing genetic association studies with evolutionary evidence. 12 - Ma Liang, Castle Raley, Xin Zheng, Geetha Kutty, Emile Gogineni, Brad T. Sherman, Qiang Sun, Xiongfong Chen, Thomas Skelly, Kristine Jones, Robert M. Stephens, Bin Zhou, William W. Lau, Calvin A. Johnson, Tomozumi Imamichi, Minkang Jiang:
Distinguishing highly similar gene isoforms with a clustering-based bioinformatics analysis of PacBio single-molecule long reads. 13 - Jing Li, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore:
Detecting gene-gene interactions using a permutation-based random forest method. 14 - Jason H. Moore, John H. Holmes:
The golden era of biomedical informatics has begun. 15 - Franco Milicchio, Rebecca Rose, Jiang Bian, Jae Min, Mattia Prosperi:
Visual programming for next-generation sequencing data analytics. 16 - Maha Soliman, Olfa Nasraoui, Nigel G. F. Cooper:
Building a glaucoma interaction network using a text mining approach. 17 - Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie:
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. 18 - Yile Zhang, Yau Shu Wong, Jian Deng, Cristina Anton, Stephan Gabos, Weiping Zhang, Dorothy Yu Huang, Can Jin:
Machine learning algorithms for mode-of-action classification in toxicity assessment. 19 - Katherine Icay, Ping Chen, Alejandra Cervera, Ville Rantanen, Rainer Lehtonen, Sampsa Hautaniemi:
SePIA: RNA and small RNA sequence processing, integration, and analysis. 20 - Riku Louhimo, Marko Laakso, Denis Belitskin, Juha Klefström, Rainer Lehtonen, Sampsa Hautaniemi:
Data integration to prioritize drugs using genomics and curated data. 21 - Y-h. Taguchi:
Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression. 22 - Artem Lysenko, Irina A. Roznovat, Mansoor A. S. Saqi, Alexander Mazein, Christopher J. Rawlings, Charles Auffray:
Representing and querying disease networks using graph databases. 23 - Gordon Okimoto, Ashkan Zeinalzadeh, Tom Wenska, Michael Loomis, James B. Nation, Tiphaine Fabre, Maarit Tiirikainen, Brenda Hernandez, Owen Chan, Linda Wong, Sandi Kwee:
Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer. 24 - Jennifer Chang, Hyejin Cho, Hui-Hsien Chou:
Mango: combining and analyzing heterogeneous biological networks. 25 - Pau M. Muñoz-Torres, Filip Rokc, Robert Beluzic, Ivana Grbesa, Oliver Vugrek:
msBiodat analysis tool, big data analysis for high-throughput experiments. 26 - Carrie Colleen Buchanan Moore, Anna Okula Basile, John R. Wallace, Alex Thomas Frase, Marylyn DeRiggi Ritchie:
A biologically informed method for detecting rare variant associations. 27 - Nicola Lazzarini, Pawel Widera, Stuart Williamson, Rakesh Heer, Natalio Krasnogor, Jaume Bacardit:
Functional networks inference from rule-based machine learning models. 28 - Spiros C. Denaxas, Folkert W. Asselbergs, Jason H. Moore:
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining. 29 - Wajdi Dhifli, Abdoulaye Baniré Diallo:
ProtNN: fast and accurate protein 3D-structure classification in structural and topological space. 30 - Guangming Xing, Guo-Qiang Zhang, Licong Cui:
FEDRR: fast, exhaustive detection of redundant hierarchical relations for quality improvement of large biomedical ontologies. 31 - Jun Hwa Lee, Byong Chul Yoo, Yun Hwan Kim, Sun-A. Ahn, Seung-Gu Yeo, Jae Youl Cho, Kyung-Hee Kim, Seung Cheol Kim:
Low-mass-ion discriminant equation (LOME) for ovarian cancer screening. 32 - Na Hong, Jyotishman Pathak, Christopher G. Chute, Guoqian Jiang:
Developing a modular architecture for creation of rule-based clinical diagnostic criteria. 33 - Diego A. Forero, Jason H. Moore:
Considerations for higher efficiency and productivity in research activities. 35:1-35:4 - Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, Theodor Baars, Julia Kälsch, Ali Canbay, Dominik Heider:
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach. 36:1-36:14 - Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond K. Wong, Kelvin Kian Loong Wong:
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification. 37:1-37:15 - Giulia Fiscon, Emanuel Weitschek, Eleonora Cella, Alessandra Lo Presti, Marta Giovanetti, Muhammed Babakir-Mina, Marco Ciotti, Massimo Ciccozzi, Alessandra Pierangeli, Paola Bertolazzi, Giovanni Felici:
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification. 38:1-38:24 - Ravi Prabhakar More, Rupali Chandrashekhar Mane, Hemant J. Purohit:
matK-QR classifier: a patterns based approach for plant species identification. 39:1-39:15 - Samantha Cheng, Angeline S. Andrew, Peter C. Andrews, Jason H. Moore:
Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies. 40:1-40:6 - Arzucan Özgür, Junguk Hur, Yongqun He:
The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature. 41:1-41:17
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