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ORCIDCIBCB 2018: Saint Louis, MO, USA
- 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2018, Saint Louis, MO, USA, May 30 - June 2, 2018. IEEE 2018, ISBN 978-1-5386-1399-3
- Corneliu T. C. Arsene:
High-performance and distributed computing in a probabilistic finite element comparison study of the human lower leg model with total knee replacement. 1-9 - Thy Nguyen, Kerri Nowell, Kimberly E. Bodner, Tayo Obafemi-Ajayi
:
Ensemble validation paradigm for intelligent data analysis in autism spectrum disorders. 1-8 - Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Parameter selection for modeling of epidemic networks. 1-8 - Jeffrey Dale, John Matta, Susanne Howard, Gunes Ercal, Wenping Qiu, Tayo Obafemi-Ajayi:
Analysis of grapevine gene expression data using node-based resilience clustering. 1-8 - Keith A. Monschke, Abdullah N. Arslan:
RNA secondary structure graphical rendering library. 1-6 - Fakheredine Keyrouz, Lara Tauk, Elias Feghali:
Chemical structure recognition and prediction: A machine learning technique. 1-7 - Mohammad Alsulmi, Ben Carterette:
Improving medical search tasks using learning to rank. 1-8 - Casey A. Cole, Kenneth L. Nesbitt, Homayoun Valafar:
Application of ensemble learning to the differential gene expression in left-right breast tumors. 1-6 - Abdulrhman Aljouie, Nihir Patel, Usman Roshan:
Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute. 1-6 - Yasser El-Manzalawy:
CCA based multi-view feature selection for multi-omics data integration. 1-8 - James Alexander Hughes, Joseph Alexander Brown, Adil Mehmood Khan, Asad Masood Khattak, Mark Daley:
Analysis of symbolic models of biometrie data and their use for action and user identification. 1-8 - Sheridan K. Houghten, Tyler Kennedy Collins, James Alexander Hughes, Joseph Alexander Brown:
Edit metric decoding: Return of the side effect machines. 1-8 - Hatem Loukil:
Tandem mass intensity estimation for de novo peptide sequencing. 1-6 - Hetal Rahul Rajpura, Alioune Ngom:
Drug target interaction predictions using PU- Leaming under different experimental setting for four formulations namely known drug target pair prediction, drug prediction, target prediction and unknown drug target pair prediction. 1-7 - Ethan C. Jackson, James Alexander Hughes, Mark Daley:
On the generalizability of linear and non-linear region of interest-based multivariate regression models for fMRI data. 1-8 - Matthew Stoodley, Daniel A. Ashlock, Steffen Graether:
Data driven point packing for fast clustering. 1-8 - Witali L. Dunin-Barkowski, Ksenia Solovyeva:
Pavlov principle and brain reverse engineering. 1-5 - Lars Rune Christensen, Mohamed Ahmed Abdullah:
EEG emotion detection review. 1-7 - B. Chandra:
An efficient feature selection technique for gene expression data. 1-6 - Amanda Saunders, Daniel A. Ashlock, Sheridan K. Houghten:
Hierarchical clustering and tree stability. 1-8 - Jumoke Soyemi, Itunuoluwa Isewon, Olubanke Ogunlana, Rotimi Solomon, Jelili Oyelade, Ezekiel F. Adebiyi:
Computational analysis of Plasmodium falciparum RNA-Seq data reveals PPIs that might be implicated in the invasion of the RBCs. 1-8 - Yosra Kazemi, Sheridan K. Houghten:
A deep learning pipeline to classify different stages of Alzheimer's disease from fMRI data. 1-8
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