Bioinformatics pipeline for circadian function. by Patrick B. Schwartz (14782608)

“…CYCLOPS (cyclic ordering by periodic structure) is an algorithm that can identify rhythmic (longitudinal) data from population data where sample time acquisition is unknown. …”

Data_Sheet_1_Accurate Inference of Tumor Purity and Absolute Copy Numbers From High-Throughput Sequencing Data.docx by Xiguo Yuan (110368)

“…In this paper, we propose a new approach, AITAC, to accurately infer tumor purity and absolute copy numbers in a tumor sample by using high-throughput sequencing (HTS) data. …”

Additional data for the polyanion sodium cathode materials dataset by Martin Hoffmann Petersen (13626778)

“…All simulations are executed within the canonical (NVT) ensemble and a sample frequency was set to 1fs.</p><p dir="ltr">All NEB calculations are performed using the ASE version 3.23.0 NEB wrapper with the FIRE optimization algorithm. …”

Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis by Thomas Y. Sun (18783987)

“…We introduce a new MCMC sampling strategy for highly efficient and fully Bayesian regression with longitudinal functional data. …”

Comprehensive analysis of CSR transcription in breast cancer and normal tissues. by Musalula Sinkala (6873695)

Data_Sheet_1_Multimodal Integration of Brain Images for MRI-Based Diagnosis in Schizophrenia.docx by Raymond Salvador (813880)

“…<p>Magnetic resonance imaging (MRI) has been proposed as a source of information for automatic prediction of individual diagnosis in schizophrenia. Optimal integration of data from different MRI modalities is an active area of research aimed at increasing diagnostic accuracy. …”

Data_Sheet_1_The effect of reading engagement on scientific literacy – an analysis based on the XGBoost method.docx by Canxi Cao (9632711)

“…Reading engagement is one of the important student characteristics related to reading literacy, which is highly malleable and is jointly reflected by behavioral, cognitive, and affective engagement, and it is of theoretical and practical significance to explore the relationship between reading engagement and scientific literacy using reading engagement as an entry point. In this study, we used PISA2018 data from China to explore the relationship between reading engagement and scientific literacy with a sample of 15-year-old students in mainland China. 36 variables related to reading engagement and background variables (gender, grade, and socioeconomic and cultural status of the family) were selected from the questionnaire as the independent variables, and the score of the Scientific Literacy Assessment (SLA) was taken as the outcome variable, and supervised machine learning method, the XGBoost algorithm, to construct the model. …”

DataSheet1_Machine Learning-Based Evaluation on Craniodentofacial Morphological Harmony of Patients After Orthodontic Treatment.docx by Xin Wang (91924)

DataSheet2_Machine Learning-Based Evaluation on Craniodentofacial Morphological Harmony of Patients After Orthodontic Treatment.docx by Xin Wang (91924)

Data Sheet 1_Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review.pdf by Claire R. van Genugten (20626733)

“…For future development, it is recommended that developers utilize complex analytical techniques that can handle real-or near-time data such as machine learning, passive monitoring, and conduct further research into empirical-based decision rules and points for optimization in terms of enhanced effectiveness and user-engagement.…”

DataSheet5_A Fatty Acid Metabolism Signature Associated With Clinical Therapy in Clear Cell Renal Cell Carcinoma.CSV by Zhihao Wei (10909679)

DataSheet7_A Fatty Acid Metabolism Signature Associated With Clinical Therapy in Clear Cell Renal Cell Carcinoma.CSV by Zhihao Wei (10909679)

DataSheet8_A Fatty Acid Metabolism Signature Associated With Clinical Therapy in Clear Cell Renal Cell Carcinoma.CSV by Zhihao Wei (10909679)

DataSheet6_A Fatty Acid Metabolism Signature Associated With Clinical Therapy in Clear Cell Renal Cell Carcinoma.CSV by Zhihao Wei (10909679)

DataSheet10_A Fatty Acid Metabolism Signature Associated With Clinical Therapy in Clear Cell Renal Cell Carcinoma.CSV by Zhihao Wei (10909679)

DataSheet9_A Fatty Acid Metabolism Signature Associated With Clinical Therapy in Clear Cell Renal Cell Carcinoma.CSV by Zhihao Wei (10909679)

DataSheet4_A Fatty Acid Metabolism Signature Associated With Clinical Therapy in Clear Cell Renal Cell Carcinoma.DOCX by Zhihao Wei (10909679)

Data analyzed for the article of <b>Evaluating photoplethysmography-based pulsewave parameters and composite scores for assessment of cardiac function: A comparison with echocardio... by Kulin (20907929)

“…The oximeter, wirelessly connected to the SCN4ALL mobile app (E-Med4All Europe Ltd, Budapest, Hungary), sent the anonymized data in real time to a secure online database. The SCN4ALL software analyzed the signals, its proprietary algorithm identifies points of interest on the pulse wave from which it calculates over 30 morphological and pulse rate variability parameters online. …”

Data_Sheet_1_Comparison of Multivariable Logistic Regression and Machine Learning Models for Predicting Bronchopulmonary Dysplasia or Death in Very Preterm Infants.docx by Faiza Khurshid (11801228)

Data_Sheet_1_Predictive power of gait and gait-related cognitive measures in amnestic mild cognitive impairment: a machine learning analysis.ZIP by Cosimo Tuena (8686143)