Spatial characterization of cancer-associated cell types in human breast cancer malignancies. حسب Nuray Sogunmez Erdogan (21533872)

WISpR spatial deconvolution workflow overview. حسب Nuray Sogunmez Erdogan (21533872)

Overview of the comparative analysis of deconvolution model performances using synthetic spatial data in four different scenarios and six different mixture percentages. حسب Nuray Sogunmez Erdogan (21533872)

Precise spatial delineation of brain cell types in adult mouse brain. حسب Nuray Sogunmez Erdogan (21533872)

Incremental Inverse Design of Desired Soybean Phenotypes حسب Joseph Zavorskas (19761296)

"…The limitations of inverse design in genotype-to-bulk phenotype (G-BP) mapping can be addressed via an established design paradigm: “design, build, test, learn” (DBTL), where computational inverse design automates both the design and learn phases. In any context, inverse design is limited by the fundamental “one-to-many” nature of the inverse function. …"

Computational Pipeline for Accelerating the Design of Glycomimetics حسب Yao Xiao (227567)

"…The GA-generated structures were then subjected to molecular dynamics (MD) simulation, and the performance was evaluated for three post-MD approaches to computing interaction energies: the scoring function from AutoDock Vina-Carb, as well as the generalized Born and Poisson–Boltzmann surface area (GBSA/PBSA) implementations within the AMBER molecular mechanical (MM) force field. …"

Network Structure of Primary Component Contrastive learning (PiCCL). حسب Yiming Kuang (22120458)

"…<p>PiCCL is a multiview contrastive learning algorithm, <i>P</i> views are generated from each sample image and fed into a multiplex Siamese network. …"

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration حسب Xia Xu (83500)

"…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …"

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration حسب Xia Xu (83500)

"…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …"

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration حسب Xia Xu (83500)

"…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …"

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration حسب Xia Xu (83500)

"…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …"

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration حسب Xia Xu (83500)

"…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …"

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration حسب Xia Xu (83500)

"…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …"

Data Sheet 1_Identification of novel lipid metabolism-related biomarkers of aortic dissection by integrating single-cell RNA sequencing analysis and machine learning algorithms.zip حسب Zhechen Li (15456929)

"…Single-cell RNA sequencing data from aortic dissection and control samples were processed to analyze lipid metabolism activity and identify differentially expressed genes. …"

The parthanatos-related gene signatures. حسب Xiangxin Wu (22320058)

"…Moreover, single-cell RNA sequencing and <i><i>in vitro</i></i> functional assays were conducted to explore cellular heterogeneity and gene function. …"

archive.zip حسب Tasneem Fatima (21976946)

Development and characterization of a cell-type-specific gene expression reference panel from single-nucleus RNA sequencing (snRNAseq). حسب Brian Gural (21781982)

Supplemental files to the study "Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized Proteins" حسب Valerie de Crecy-Lagard (12823436)

"…Machine-Learning (ML) approaches are enticing, with early successes demonstrating the ability to propagate functional knowledge from experimentally characterized proteins. …"

<b>FCG-MFD: Benchmark Function Call Graph-Based Dataset for Malware Family Detection</b> حسب Hassan jalil hadi (18243805)

"…Our dataset has two sub-datasets (FCG & Metadata) (1,00,000 samples) from VirusSamples, Virusshare, VirusSign, theZoo, Vx-underground, and MalwareBazaar curated using FCGs and metadata to optimize the efficacy of ML algorithms. …"

Unsupervised Machine Learning for Differential Analysis in Proteomics حسب Guanyang Xu (22379531)

"…Using <i>in silico</i> simulated data sets derived from experimental data, we enabled cross-algorithm comparability through a probability based transformation. …"