a. How various statistical models account for modulation classification performance across the entire dataset. by Chris Scholes (3309477)

“…Parameters are <i>Type:</i> neuron classification (primary-like, sustained chopper, etc.); <i>CV:</i> Coefficient of variation of the interspike intervals in response to a pure tone at CF. …”

datasheet1_ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed.xlsx by Paola Turina (10431428)

“…The results show that ThermoScan returns accurate predictions and outperforms recently developed text-mining algorithms based on the analysis of publication abstracts.…”

presentation1_ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed.pdf by Paola Turina (10431428)

“…The results show that ThermoScan returns accurate predictions and outperforms recently developed text-mining algorithms based on the analysis of publication abstracts.…”

PresQT - Services to Improve Re-use and FAIRness of Research Data and Software by Sandra Gesing (4501198)

“…PresQT services are easily integratable and target systems can be added via extending JSON files and Python functions. Data is packaged as BagITs for uploads, downloads and transfers. …”

Expression vs genomics for predicting dependencies by Broad DepMap (5514062)

“…If you are interested in trying machine learning, the files Features.hdf5 and Target.hdf5 contain the data munged in a convenient form for standard supervised machine learning algorithms.</p><p dir="ltr"><br></p><p dir="ltr">Some large files are in the binary format hdf5 for efficiency in space and read-in. …”

DataSheet1_Application of a risk score model based on glycosylation-related genes in the prognosis and treatment of patients with low-grade glioma.docx by Binbin Zou (11358315)

“…However, the biological function of glycosylation-related genes in LGG remains largely unexplored. …”

Table_1_Age-Related Tortuosity of Carotid and Vertebral Arteries: Quantitative Evaluation With MR Angiography.PDF by Zhe Sun (328682)

“…Background and Purpose<p>The vascular tortuosity (VT) of the internal carotid artery (ICA), and vertebral artery (VA) can impact blood flow and neuronal function. However, few studies involved quantitative investigation of VT based on magnetic resonance imaging (MRI). …”

Data_Sheet_1_Detection of BDNF-Related Proteins in Human Perilymph in Patients With Hearing Loss.PDF by Ines de Vries (6507977)

“…<p>The outcome of cochlear implantation depends on multiple variables including the underlying health of the cochlea. Brain derived neurotrophic factor (BDNF) has been shown to support spiral ganglion neurons and to improve implant function in animal models. …”

Table_2_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.xls by Yu Xia (8822)

“…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”

Image_2_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

“…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”

Image_4_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

“…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”

Image_3_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

“…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”

Table_1_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.docx by Yu Xia (8822)

“…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”

Image_1_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

“…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”

DataSheet1_Global and non-Global slow oscillations differentiate in their depth profiles.docx by Sang-Cheol Seok (459143)

“…The functional significance of space-time profiles of SOs hinges on testing if these differential SOs scalp profiles are mirrored by differential depth structure of SOs in the brain. …”

DataSheet1_Individualized multi-modal MRI biomarkers predict 1-year clinical outcome in first-episode drug-naïve schizophrenia patients.docx by Aoxiang Zhang (3625814)

“…The results were assessed through a 5-fold cross-validation (training and validation cohorts, n = 51) and validated using the external test cohort (n = 17).</p>Results<p>ML algorithms based on individual-specific brain network proved more effective than those based on group-level brain network in predicting outcomes. …”

<b>Drug Release Nanoparticle Systems Design:</b><b>Dataset Compilation and Machine Learning Modeling</b> by Shan He (14524901)

“…Herein 11 different AI/ML algorithms were used to develop the predictive AI/ML models. …”

Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation by A. Kumar (664258)

“…We performed a comparative study to predict PCE using two target functions (TF₁ without IIC and TF₂ with IIC). …”

DeepADRA2A: predicting adrenergic α2a inhibitors using deep learning by Nitin Wankhade (17147465)

“…<p>Adrenergic α2a (ADRA2A) receptors play a crucial role in modulating various physiological actions, thereby influencing the proper functioning of different systems in the body. ADRA2A regulation is associated with a wide range of effects, including alterations in blood pressure, hypertension, heightened heart rate, etc. …”

Image_3_Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify B... by Songyun Zhao (13897731)

“…Background<p>Glioblastoma (GBM) is a malignant primary brain tumor. This study focused on exploring the exosome-related features of glioblastoma to better understand its cellular composition and molecular characteristics.…”