High performance computing for computational biology by Du, Zhihua

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Big data and computational biology strategy for personalized prognosis by Ow, Ghim Siong, Tang, Zhiqun, Kuznetsov, Vladimir A.

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Social Analysis of Education : After the New Sociology / by Wexler, Philip, author 223640

Subjects: “…Educational sociology…”

EasyPDP: an efficient parallel dynamic programming runtime system for computational biology by Tang, Shanjiang, Yu, Ce, Sun, Jizhou, Lee, Bu-Sung, Zhang, Tao, Xu, Zhen, Wu, Huabei

“…Dynamic programming (DP) is a popular and efficient technique in many scientific applications such as computational biology. Nevertheless, its performance is limited due to the burgeoning volume of scientific data, and parallelism is necessary and crucial to keep the computation time at acceptable levels. …”
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Perceiving agency in a multi-agent context: more interactions with the environment yet reduced agency in depression by Jain, R

Subjects: “…Computational Psychology…”

Understanding Dengue Virus Capsid Protein Interaction with Key Biological Targets by Faustino, André F., Martins, Ivo C., Carvalho, Filomena A., Castanho, Miguel A. R. B., Maurer-Stroh, Sebastian, Santos, Nuno C.

Subjects: “…Computational biology and bioinformatics…”
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Characterizing the conformational landscape of MDM2-binding p53 peptides using molecular dynamics simulations by Yadahalli, Shilpa, Li, Jianguo, Lane, David P., Gosavi, Shachi, Verma, Chandra Shekhar

Subjects: “…Computational Biology and Bioinformatics…”
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The involvement of hypoxia in APOBEC-mediated mutagenesis in multiple cancers by Liang, J

Subjects: “…Computational Biology…”

Ten quick tips for ensuring machine learning model validity by Goh, Wilson Wen Bin, Kabir, Mohammad Neamul, Yoo, Sehwan, Wong, Limsoon

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Microbial communities: network reconstruction and control by Fu, A

Subjects: “…Computational biology…”

Multi-omics analysis and modelling of T cell immunity and interferon signalling pathways for engineered T cell therapy by Pavillet, CE

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A decade after the first full human genome sequencing : when will we understand our own genome? by Eisenhaber, Frank

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A multimodal approach to analysis of steady state visually evoked potentials by Vij, Nikhil, Zuobin, Wu, Bjornsdotter, Malin, Dauwels, Justin, Vialatte, François-Benoît

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STEROID : in silico heuristic target combination identification for disease-related signaling networks by Bhowmick, Sourav S., Chua, Huey-Eng, Tucker-Kellogg, Lisa, Dewey Jr., C. Forbes

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Population-specific adaptation in malaria-endemic regions of Asia by Gusareva, Elena S., Lorenzini, Paolo Alberto, Nurul Adilah Ramli, Ghosh, Amit Gourav, Kim, Hie Lim

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Insights on Serology, CRISPR Diagnostics, and Machine Learning Architectures for Biological Sequences by Siddiqui, Sameed Muneeb

“…Finally, the dissertation culminates with a leap into computational biology, introducing ’Janus,’ a subquadratic state space model designed to efficiently handle large biological sequences. …”
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Feature importance network reveals novel functional relationships between biological features in Arabidopsis thaliana by Ng, Jonathan Wei Xiong, Chua, Swee Kwang, Mutwil, Marek

“…Understanding how the different cellular components are working together to form a living cell requires multidisciplinary approaches combining molecular and computational biology. Machine learning shows great potential in life sciences, as it can find novel relationships between biological features. …”
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Transcriptional brain networks and their key regulators across the human lifespan by Wehrspaun, CC

“…In this thesis, I applied combinations of network algorithms and tools from computational biology to analyse transcriptional networks and their key regulators in the human brain across space (brain regions) and time (the human life course). …”

Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach by Rajapakse, Jagath Chandana, Azuaje, Francisco, Tranchevent, Léon-Charles, Nazarov, Petr V., Kaoma, Tony, Schmartz, Georges P., Muller, Arnaud, Kim, Sang-Yoon

“…Background: One of the main current challenges in computational biology is to make sense of the huge amounts of multidimensional experimental data that are being produced. …”
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Alkynone β-trifluoroborates: a new class of amine-specific biocompatible click reagents by Teng, Shenghan, Ng, Elvis Wang Hei, Zhang, Zhenguo, Soon, Chee Ning, Xu, Hailun, Li, Ruifang, Hirao, Hajime, Loh, Teck-Peng

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