Image 6_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg حسب Yan Jiang (12139)

"…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …"

Image 7_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg حسب Yan Jiang (12139)

"…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …"

Image 5_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg حسب Yan Jiang (12139)

"…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …"

<b>Figures for Protein-Protein interaction (PPI) network of differentially acetylated proteins</b><b> </b><b>by Aspirin during differentiation of THP-1 cell towards macrophage</b> حسب Zi-Hui Ma (14118552)

"…The protein-protein interaction (PPI) networks were generated using STRING (H. sapiens; confidence score > 0.7) and visualized in Cytoscape 3.2.1. to elucidate how Aspirin-driven acetylated proteins functionally coordinate within cellular systems. The PPI network was further analyzed to identify densely interconnected functional clusters/modules using topological clustering algorithms. …"

<b>Protein-Protein interaction (PPI) network of differentially acetylated proteins</b><b> by Aspirin during differentiation of THP-1 cell towards macrophage</b> حسب Li Xing (21105170)

"…The protein-protein interaction (PPI) networks were generated using STRING (H. sapiens; confidence score > 0.7) and visualized in Cytoscape 3.2.1. to elucidate how Aspirin-driven acetylated proteins functionally coordinate within cellular systems. The PPI network was further analyzed to identify densely interconnected functional clusters/modules using topological clustering algorithms. …"

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. حسب Enrico Bertozzi (22461709)

"…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …"

Video 3_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Video 2_Characterize neuronal responses to natural movies in the mouse superior colliculus.mp4 حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Video 1_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Video 4_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Data Sheet 1_Differential neuropilin isoform expressions highlight plasticity in macrophages in the heterogenous TME through in-silico profiling.docx حسب Hyun-Jee Han (20858765)

"…Datasets were processed using established bioinformatics pipelines, including clustering algorithms, to determine cellular heterogeneity and quantify NRP isoform expression within distinct macrophage populations. …"

Data Sheet 2_Differential neuropilin isoform expressions highlight plasticity in macrophages in the heterogenous TME through in-silico profiling.docx حسب Hyun-Jee Han (20858765)

"…Datasets were processed using established bioinformatics pipelines, including clustering algorithms, to determine cellular heterogeneity and quantify NRP isoform expression within distinct macrophage populations. …"

Data Sheet 1_Deep learning in microbiome analysis: a comprehensive review of neural network models.pdf حسب Piotr Przymus (10165658)

"…These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …"

Data Sheet 2_Deep learning in microbiome analysis: a comprehensive review of neural network models.pdf حسب Piotr Przymus (10165658)

"…These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …"

A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations on 7T T2-weighted images حسب Shuyu Li (18859198)

"…<p dir="ltr">The hippocampus, a region of critical interest within clinical neuroscience, is recognized as a complex structure comprising distinct subfields with unique functional attributes, connectivity patterns, and susceptibilities to disease. …"

Oryza australiensis species-specific gene and protein candidates حسب Sabrina Morrison (19846869)

"…</p><p dir="ltr">The protein sequence data for both <i>O. australiensis</i> and <i>O. sativa</i> (Osativa323v7 protein file Phytozome). were filtered for the longest isomer and then analysed for orthologous and unique protein clusters within the O. australiensis genome using OrthoVenn3 (parameters: OrthoFinder algorithm, E-value: 1e-2, Inflation value:1.50) (Sun et al., 2023, Emms and Kelly, 2019). …"

Image 2_Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory.tif حسب Feng Liu (72874)

"…</p>Methods<p>We leveraged artificial intelligence (AI) algorithms and spatial transcriptomic sequencing to meticulously characterize the spatial and temporal evolution of 4-nitroquinoline-1-oxide (4NQO)-induced tongue carcinogenesis and intratumor heterogeneity.…"

Image 1_Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory.tif حسب Feng Liu (72874)

"…</p>Methods<p>We leveraged artificial intelligence (AI) algorithms and spatial transcriptomic sequencing to meticulously characterize the spatial and temporal evolution of 4-nitroquinoline-1-oxide (4NQO)-induced tongue carcinogenesis and intratumor heterogeneity.…"

Image 3_Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory.tif حسب Feng Liu (72874)

"…</p>Methods<p>We leveraged artificial intelligence (AI) algorithms and spatial transcriptomic sequencing to meticulously characterize the spatial and temporal evolution of 4-nitroquinoline-1-oxide (4NQO)-induced tongue carcinogenesis and intratumor heterogeneity.…"

Table1_Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning.pdf حسب Lijuan Liang (4277053)

"…We used the Covarep open-source algorithm to extract a total of 1200 high-level statistical functions for each sample. …"