Healthy vegetation area in February from 2015 to 2019. حسب Gourab Saha (8987405)

Salinity mapping for February and June from 2015 to 2019. حسب Gourab Saha (8987405)

Boxplots for λ as estimated from the pattern matching technique. حسب Pratik Mullick (12851011)

Healthy vegetation area in June from 2015 to 2019. حسب Gourab Saha (8987405)

Flowchart of the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm. حسب Tsutomu Gomi (7382183)

Automated unsupervised annotation of clones in the larval eye. حسب Sebastian M. Bernasek (8525829)

Identification of hub genes from common DEGs between healthy subjects and patients with ES. حسب Jian Wen (286688)

Automated correction of fluorescence bleedthrough in the larval eye. حسب Sebastian M. Bernasek (8525829)

Data_Sheet_1_Combined brain network topological metrics with machine learning algorithms to identify essential tremor.docx حسب Qin Li (36669)

"…</p>Methods<p>Resting-state functional magnetic resonance imaging (fMRI) data were obtained from 101 ET and 105 HCs. …"

Fly-QMA: Automated analysis of mosaic imaginal discs in <i>Drosophila</i> حسب Sebastian M. Bernasek (8525829)

"…<div><p>Mosaic analysis provides a means to probe developmental processes in situ by generating loss-of-function mutants within otherwise wildtype tissues. …"

Data_Sheet_1_Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri).docx حسب Niklas Pallast (6796196)

"…Following a modular structure developed in Python scripting language, the pipeline integrates established and newly developed algorithms. …"

Data_Sheet_2_Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri).pdf حسب Niklas Pallast (6796196)

"…Following a modular structure developed in Python scripting language, the pipeline integrates established and newly developed algorithms. …"

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates حسب Peng Gao (35465)

"…We demonstrated that the GCN-based deep learning algorithm is suitable for spatial information extraction from the molecular graph. …"

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates حسب Peng Gao (35465)

"…We demonstrated that the GCN-based deep learning algorithm is suitable for spatial information extraction from the molecular graph. …"

Pathway activity and single-cell level functional states of CEDGs in cancer. حسب Yuxi Gu (11386081)

500 <i>ϕ</i> vectors learned from <i>ℓ</i>_1/2 thresholding. حسب Ilias Rentzeperis (10215602)

"…Traditionally, to replicate such biological sparsity, generative models have been using the <i>ℓ</i>₁ norm as a penalty due to its convexity, which makes it amenable to fast and simple algorithmic solvers. In this work, we use biological vision as a test-bed and show that the soft thresholding operation associated to the use of the <i>ℓ</i>₁ norm is highly suboptimal compared to other functions suited to approximating <i>ℓ</i>_<i>p</i> with 0 ≤ <i>p</i> < 1 (including recently proposed continuous exact relaxations), in terms of performance. …"

Simple sequence of numbers generated by the cos function. حسب Kiyoshiro Okada (10711332)

Results of community detection from phosphoproteomics-derived networks. حسب Celia De Los Angeles Colomina Basanta (16437798)

The coregulatory network analysis of the hub genes from the study. حسب Devi Soorya Narayana Sasikumar (22331743)

Data_Sheet_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.PDF حسب Hong Gu (68558)

"…Then the estimation of the background distribution and the identification of driver genes were conducted in each cluster obtained by the hierarchical clustering algorithm. We applied FI-net and other 22 state-of-the-art methods to 31 datasets from The Cancer Genome Atlas project. …"