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ORCIDBioData Mining, Volume 11
Volume 11, Number 1, December 2018
- Eunice Carrasquinha
, André Veríssimo, Marta B. Lopes, Susana Vinga:
Identification of influential observations in high-dimensional cancer survival data through the rank product test. 1:1-1:14 - Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Investigating the parameter space of evolutionary algorithms. 2:1-2:14 - Wenyi Qin, Hui Lu:
A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis. 3:1-3:17 - Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Pairwise gene GO-based measures for biclustering of high-dimensional expression data. 4:1-4:19 - Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie:
Collective feature selection to identify crucial epistatic variants. 5:1-5:22 - Elizabeth R. Piette, Jason H. Moore:
Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV). 6:1-6:11 - Enrico Ferrero, Pankaj Agarwal:
Connecting genetics and gene expression data for target prioritisation and drug repositioning. 7:1-7:9 - Ravi Mathur, Daniel M. Rotroff, Jun Ma, Ali Shojaie, Alison A. Motsinger-Reif:
Gene set analysis methods: a systematic comparison. 8:1-8:19 - Amani Al-Ajlan, Achraf El Allali:
Feature selection for gene prediction in metagenomic fragments. 9:1-9:12 - Kimberly To, Rebecca C. Fry, David M. Reif:
Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi. 10:1-10:12 - Jens Dörpinghaus, Sebastian Schaaf, Marc Jacobs:
Soft document clustering using a novel graph covering approach. 11:1-11:20 - Laura Tipton, Karen T. Cuenco, Laurence Huang, Ruth M. Greenblatt, Eric Kleerup, Frank C. Sciurba, Steven R. Duncan, Michael P. Donahoe, Alison Morris, Elodie Ghedin:
Measuring associations between the microbiota and repeated measures of continuous clinical variables using a lasso-penalized generalized linear mixed model. 12:1-12:20 - Catherine Li, Juyon Lee, Jessica Ding, Shuying Sun:
Integrative analysis of gene expression and methylation data for breast cancer cell lines. 13:1-13:16 - Kathleen M. Chen, Jie Tan, Gregory P. Way, Georgia Doing, Deborah A. Hogan, Casey S. Greene:
PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia. 14:1-14:20 - David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero:
TRIQ: a new method to evaluate triclusters. 15:1-15:29 - Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta:
A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. 16:1-16:22 - Cheng-Hong Yang, Kuo-Chuan Wu, Yu-Shiun Lin, Li-Yeh Chuang, Hsueh-Wei Chang:
Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm. 17:1-17:14 - Christina Brester, Jussi Kauhanen, Tomi-Pekka Tuomainen, Sari Voutilainen, Mauno Rönkkö, Kimmo Ronkainen, Eugene Semenkin, Mikko Kolehmainen:
Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases. 18:1-18:14 - Jing Zhang, Dan Wu, Yiqin Dai, Jianjiang Xu:
Functional relevance for central cornea thickness-associated genetic variants by using integrative analyses. 19:1-19:13 - Aida Mrzic, Pieter Meysman, Wout Bittremieux, Pieter Moris, Boris Cule, Bart Goethals, Kris Laukens:
Grasping frequent subgraph mining for bioinformatics applications. 20:1-20:24 - Moshe Sipper, Ryan J. Urbanowicz, Jason H. Moore:
To know the objective is not (necessarily) to know the objective function. 21:1-21:3 - Eleonora Cappelli, Giovanni Felici, Emanuel Weitschek:
Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction. 22:1-22:23 - M. Arabnejad, Bryan A. Dawkins, William S. Bush, Bill C. White, A. R. Harkness, Brett A. McKinney:
Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS. 23:1-23:17 - Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie, Hua Han:
A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images. 24:1-24:15 - Daria Efimova, Alexander V. Tyakht, Anna S. Popenko, Anatoly N. Vasilyev, Ilya A. Altukhov, Nikita V. Dovidchenko, Vera Odintsova, Natalya Klimenko, Robert Loshkarev, Maria Pashkova, Anna Elizarova, Viktoriya Voroshilova, Sergei Slavskii, Yury Pekov, Ekaterina Filippova, Tatiana Shashkova, Evgenii Levin, Dmitry G. Alexeev:
Knomics-Biota - a system for exploratory analysis of human gut microbiota data. 25:1-25:7 - David Bouzaglo, Israel Chasida, Elishai Ezra Tsur:
Distributed retrieval engine for the development of cloud-deployed biological databases. 26:1-26:10 - Seungyeoun Lee, Donghee Son, Yongkang Kim, Wenbao Yu, Taesung Park:
Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype. 27:1-27:13
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