Table1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.XLSX by Qiang-Sheng Wang (12641971)

“…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”

Image2_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF by Qiang-Sheng Wang (12641971)

“…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”

Image1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF by Qiang-Sheng Wang (12641971)

“…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”

Experimentally verified and predicted organelle proteins as a percentage of the whole genome. by Sven B. Gould (12237287)

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. by Zhengdong Wang (35299)

Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield... by Uttam Khatri (12689072)

“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”

Surround Suppression mechanism. by Elnaz Nemati (21402730)

DataSheet1_The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes.PDF by Paula Štancl (12886700)

“…Two machine-learning algorithms that predict HRD status, CHORD, and HRDetect, utilize various HRD-associated features extracted from whole-genome sequencing (WGS) data and show high sensitivity in detecting patients with BRCA1/2 bi-allelic inactivation in all cancer types. …”

DataSheet2_The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes.xlsx by Paula Štancl (12886700)

“…Two machine-learning algorithms that predict HRD status, CHORD, and HRDetect, utilize various HRD-associated features extracted from whole-genome sequencing (WGS) data and show high sensitivity in detecting patients with BRCA1/2 bi-allelic inactivation in all cancer types. …”

Data Sheet 1_Genome-wide expression in human whole blood for diagnosis of latent tuberculosis infection: a multicohort research.pdf by Fan Jiang (144211)

Table1_GTasm: a genome assembly method using graph transformers and HiFi reads.DOCX by Junwei Luo (7593224)

Data Sheet 1_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.xlsx by Dèdéou A. Tchokponhoué (17403983)

“…The ShinyCore algorithm application yielded a core set of 54 accessions that echoed a good geographical representativeness and encompassed a level of diversity comparable to that of the whole collection. …”

Data Sheet 2_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.docx by Dèdéou A. Tchokponhoué (17403983)

“…The ShinyCore algorithm application yielded a core set of 54 accessions that echoed a good geographical representativeness and encompassed a level of diversity comparable to that of the whole collection. …”

Table_1_Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation.xlsx by Joanna Tobiasz (11816504)

“…</p><p>In conclusion, the DP-based piecewise multivariate linear regression method helps narrow the set of CNV markers from the whole radiosensitivity range to the smaller intervals of interest. …”

Table1_Analytical validation and clinical utilization of K-4CARE™: a comprehensive genomic profiling assay with personalized MRD detection.XLSX by Thien-Phuc Nguyen Hoang (17940656)

“…<p>Background: Biomarker testing has gradually become standard of care in precision oncology to help physicians select optimal treatment for patients. Compared to single-gene or small gene panel testing, comprehensive genomic profiling (CGP) has emerged as a more time- and tissue-efficient method. …”