Network inference with Granger causality ensembles on single-cell transcriptomics

A Deshpande, LF Chu, R Stewart, A Gitter - Cell reports, 2022 - cell.com
Cellular gene expression changes throughout a dynamic biological process, such as
differentiation. Pseudotimes estimate cells' progress along a dynamic process based on …

[HTML][HTML] Generating UAV high-resolution topographic data within a FOSS photogrammetric workflow using high-performance computing clusters

M La Salandra, G Miniello, S Nicotri, A Italiano… - International Journal of …, 2021 - Elsevier
Photogrammetry is one of the most reliable techniques to generate high-resolution
topographic data and it is key to territorial mapping and change detection analysis of …

Network inference with granger causality ensembles on single-cell transcriptomic data

A Deshpande, LF Chu, R Stewart, A Gitter - BioRxiv, 2019 - biorxiv.org
Advances in single-cell transcriptomics enable measuring the gene expression of individual
cells, allowing cells to be ordered by their state in a dynamic biological process. Many …

Climate matching with the climatchR R package

RA Erickson, PS Engelstad, CS Jarnevich… - … Modelling & Software, 2022 - Elsevier
Climate matching allows comparisons of climatic conditions between different locations to
understand location and species range climatic suitability. The approach may be used as …

Cross‐scale interactions dictate regional lake carbon flux and productivity response to future climate

JA Zwart, ZJ Hanson, JS Read… - Geophysical …, 2019 - Wiley Online Library
Lakes support globally important food webs through algal productivity and contribute
significantly to the global carbon cycle. However, predictions of how broad‐scale lake …

SimpleMind adds thinking to deep neural networks

Y Choi, MW Wahi-Anwar, MS Brown - arXiv preprint arXiv:2212.00951, 2022 - arxiv.org
Deep neural networks (DNNs) detect patterns in data and have shown versatility and strong
performance in many computer vision applications. However, DNNs alone are susceptible to …

SimpleMind: an open-source software environment that adds thinking to deep neural networks

Y Choi, MW Wahi-Anwar, MS Brown - Plos one, 2023 - journals.plos.org
Deep neural networks (DNNs) detect patterns in data and have shown versatility and strong
performance in many computer vision applications. However, DNNs alone are susceptible to …

[HTML][HTML] Transforming Hydrology Python Packages into Web Application Programming Interfaces: A Comprehensive Workflow Using Modern Web Technologies

ST Pulla, H Yasarer, LD Yarbrough - Water, 2024 - mdpi.com
The accessibility and deployment of complex hydrological models remain significant
challenges in water resource management and research. This study presents a …

Paths to computational fluency for natural resource educators, researchers, and managers

RA Erickson, JL Burnett, MT Wiltermuth… - Natural Resource …, 2021 - Wiley Online Library
Natural resource management and supporting research teams need computational fluency
in the data and model‐rich 21st century. Computational fluency describes the ability of …

同步辐射光源实验中虚拟计算系统的设计和应用

徐吉平, 胡庆宝, 李亚康, 齐法制, 郑伟, 崔涛… - 数据与计算发展 …, 2024 - jfdc.cnic.cn
[目的] 高能同步辐射光源(HEPS) 会产生海量实验数据, 需要大量的高性能计算资源来处理和
分析, 进而支持多样化的科学研究. 同时, 计算环境需要提供安全的数据存储和访问控制机制 …