Supporting data for "Machine learning based prognosis prediction of intracerebral hemorrhage outcome". by Eunhye Yang (17853260)

“…To support timely clinical decision-making, numerous prognosis scoring systems have been established, yet no scores have been found to be accurate in predicting both mortality and morbidity. Therefore, using 957 spontaneous ICH patient samples provided by the University of Hong Kong stroke registry, this study aims to utilize machine learning (ML) tools to develop a prognosis system that effectively predicts six-month outcomes of both mortality and morbidity in ICH patients. …”

Graphical Abstract. by Michele Gentili (19865208)

“…Given a source of biological information, such as a PPI network or set of functional annotations, for every gene i and j (g_i,g_j) we extract the gene specific regularization vector <i>λ</i>_{<i>i</i>,<i>j</i>}, that contains the distance between gene g_i and g_j to all of the other genes, in our case the inverse of the personalized PageRank algorithm (more details in <b><a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011079#pcbi.1011079.s001" target="_blank">S1 Text</a></b>). …”

Data Sheet 1_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.csv by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Image 2_Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.jpeg by Ting Chen (15205)

“…</p>Results<p>The improved algorithm significantly outperformed other algorithms on 23 standard test functions. …”

Image 1_Machine learning-driven discovery of NETs-associated diagnostic biomarkers and molecular subtypes in tuberculosis.tif by Shoupeng Ding (21555394)

“…Among the ensemble of 113 machine learning methods, the “StepgIm[both]+RF” algorithm demonstrated superior performance, ultimately identifying six core NETs genes. …”

Data Sheet 4_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.pdf by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Table 2_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.xlsx by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Table1_Deletion of Mgat2 in spermatogonia blocks spermatogenesis.xlsx by Mohd Shamoon Asmat (19700998)

“…In addition, RNA-seq analysis at 15 days after birth revealed a unique transcriptomic landscape in Mgat2[−/−] germ cells with genes required for sperm formation and functions being most downregulated. Bioinformatic analyses using the ingenuity pathway analysis (IPA) algorithm identified ERK and AKT as central activities. …”

Image 3_Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.jpeg by Ting Chen (15205)

“…</p>Results<p>The improved algorithm significantly outperformed other algorithms on 23 standard test functions. …”

Data Sheet 2_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.pdf by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Data Sheet 3_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.zip by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Image 1_Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.jpeg by Ting Chen (15205)

“…</p>Results<p>The improved algorithm significantly outperformed other algorithms on 23 standard test functions. …”

Data Sheet 2_Machine learning-driven discovery of NETs-associated diagnostic biomarkers and molecular subtypes in tuberculosis.pdf by Shoupeng Ding (21555394)

“…Among the ensemble of 113 machine learning methods, the “StepgIm[both]+RF” algorithm demonstrated superior performance, ultimately identifying six core NETs genes. …”

Data Sheet 1_Machine learning-driven discovery of NETs-associated diagnostic biomarkers and molecular subtypes in tuberculosis.pdf by Shoupeng Ding (21555394)

“…Among the ensemble of 113 machine learning methods, the “StepgIm[both]+RF” algorithm demonstrated superior performance, ultimately identifying six core NETs genes. …”

Table 1_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.xlsx by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

DataSheet1_Deletion of Mgat2 in spermatogonia blocks spermatogenesis.pdf by Mohd Shamoon Asmat (19700998)

“…In addition, RNA-seq analysis at 15 days after birth revealed a unique transcriptomic landscape in Mgat2[−/−] germ cells with genes required for sperm formation and functions being most downregulated. Bioinformatic analyses using the ingenuity pathway analysis (IPA) algorithm identified ERK and AKT as central activities. …”

Data Sheet 1_Epigenetic modifications in developmental coordination disorder: association between DNA methylation and motor performance.docx by Fangfang Huang (821089)

“…Among the key DMPs, methylation levels at cg18187326 (FAM45A) and cg11968956 (FAM184A) were significantly associated with both total motor and gross motor scores. In addition, cg03597174 (SEZ6) was negatively associated, while cg05986449 (GPD2) was positively associated with gross motor function.…”

Data Sheet 2_Epigenetic modifications in developmental coordination disorder: association between DNA methylation and motor performance.xlsx by Fangfang Huang (821089)

“…Among the key DMPs, methylation levels at cg18187326 (FAM45A) and cg11968956 (FAM184A) were significantly associated with both total motor and gross motor scores. In addition, cg03597174 (SEZ6) was negatively associated, while cg05986449 (GPD2) was positively associated with gross motor function.…”

Table 1_Overlapping genes connect rheumatoid arthritis and head and neck cancer: coincidence or shared immune pathophysiology?.xlsx by Ran Wang (169166)

“…An AI-driven computational pipeline applied the Adjusted Binomial Method Algorithm (ABMA) to assess association reliability. …”

Table 1_Identification and validation of immune and diagnostic biomarkers for interstitial cystitis/painful bladder syndrome by integrating bioinformatics and machine-learning.docx by Tao Zhou (117050)

“…Hub genes in IC/BPS patients were identified through the application of three distinct machine-learning algorithms. Additionally, the inflammatory status and immune landscape of IC/BPS patients were evaluated using the ssGSEA algorithm. …”