DataSheet1_Biological Network Inference With GRASP: A Bayesian Network Structure Learning Method Using Adaptive Sequential Monte Carlo.docx حسب Kaixian Yu (2836709)

Image 1_Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease.jpeg حسب Mingming Wang (394106)

"…</p>Methods<p>We performed multi-omics analyses of GEO datasets using machine learning algorithms (LASSO/Random Forest) to derive a four-gene signature. …"

Data Sheet 1_Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease.csv حسب Mingming Wang (394106)

"…</p>Methods<p>We performed multi-omics analyses of GEO datasets using machine learning algorithms (LASSO/Random Forest) to derive a four-gene signature. …"

DataSheet_1_Machine Learning Uses Chemo-Transcriptomic Profiles to Stratify Antimalarial Compounds With Similar Mode of Action.pdf حسب Ashleigh van Heerden (11041338)

"…Machine learning (ML) algorithms are powerful tools able to deconvolute such complex chemically-induced transcriptional signatures to identify pathways on which a compound act and in this manner provide an indication of the MoA of a compound. …"

Table_1_Genome-wide association studies for a comprehensive understanding of the genetic architecture of culm strength and yield traits in rice.docx حسب Jyothi Badri (5309546)

"…We made a detailed analysis of various component traits with the aim of deriving optimized parameters for measuring culm strength. Genotyping by sequencing (GBS)-based genome-wide association study (GWAS) was employed among 181 genotypes for dissecting the genetic control of culm strength traits. …"

Supplementary Material 8 حسب Nishitha R Kumar (19750617)

"…</li><li><b>Linear support vector machine (Linear SVM):</b> This machine finds the optimal hyperplane to separate E. coli strains based on genomic features such as gene presence or sequence variations.…"

Data Sheet 1_Construction of a diagnostic model for temporal lobe epilepsy using interpretable deep learning: disease-associated markers identification.docx حسب Tianyu Wang (397547)

"…SHAP interpretation identified DEPDC5, STXBP1, GABRG2, SLC2A1, and LGI1 as the most significant TLE-associated genes. The KAN model revealed complex nonlinear relationships between these genes and TLE status, providing mathematical expressions that capture their contributions. …"

Supplementary Material 9 حسب Nishitha R Kumar (19750617)

"…CD-HIT can group similar sequences or genomic features when applied to machine learning results in Escherichia coli genomic analysis, improving model efficiency and reducing computational complexity.</p><h4><b>CD-HIT in machine learning-based </b><b><i>E. coli</i></b><b> genomic analysis:</b></h4><ol><li><b>Feature reduction:</b> In supervised machine learning, CD-HIT can cluster similar sequences from genomic data, eliminating redundant information and improving feature selection for classifiers like Random Forest, XGBoost, and SVM.…"

Table_1_Landscape of Immune Microenvironment Under Immune Cell Infiltration Pattern in Breast Cancer.xlsx حسب Qianhui Xu (10517717)

"…The identification of the ICI patterns within individual tumors based on the ICI score, developed under the ICI-related signature genes, contributed into dissecting biological processes, clinical outcome, immune cells infiltration, immunotherapeutic effect, and genetic variation. …"

DataSheet_1_Landscape of Immune Microenvironment Under Immune Cell Infiltration Pattern in Breast Cancer.docx حسب Qianhui Xu (10517717)

"…The identification of the ICI patterns within individual tumors based on the ICI score, developed under the ICI-related signature genes, contributed into dissecting biological processes, clinical outcome, immune cells infiltration, immunotherapeutic effect, and genetic variation. …"

Data Sheet 1_Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods.docx حسب Ankita Lawarde (16544943)

"…Introduction<p>MicroRNAs (miRNAs) regulate gene expression and play an important role in carcinogenesis through complex interactions with messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). …"