Data_Sheet_1_A Greedy Algorithm-Based Stem Cell LncRNA Signature Identifies a Novel Subgroup of Lung Adenocarcinoma Patients With Poor Prognosis.PDF حسب Seema Khadirnaikar (9227318)

"…Further, feature selection using greedy algorithm identified 17-hESC-lncRNAs signature, which showed significant consistency with 198 hESC-lncRNAs–based classification, and identified a group of patients with high stem cell–like characteristic in the 10 most common cancer types and CCLE cell lines. …"

Data_Sheet_2_A Greedy Algorithm-Based Stem Cell LncRNA Signature Identifies a Novel Subgroup of Lung Adenocarcinoma Patients With Poor Prognosis.xlsx حسب Seema Khadirnaikar (9227318)

"…Further, feature selection using greedy algorithm identified 17-hESC-lncRNAs signature, which showed significant consistency with 198 hESC-lncRNAs–based classification, and identified a group of patients with high stem cell–like characteristic in the 10 most common cancer types and CCLE cell lines. …"

Model convergence to steady state. حسب Dmitrii Smirnov (8822324)

Tissue effects. حسب Dmitrii Smirnov (8822324)

Indels characterization algorithm development and benchmark with simulated data and real data. حسب Marta Sanvicente-García (12306659)

Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx حسب Bingxin Zhang (13011397)

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

Sensitivity and Specificity Analysis. حسب Afnan M. Alhassan (18349378)

CSI, Balanced accuracy, and FMI Analysis. حسب Afnan M. Alhassan (18349378)

Architecture of CDL Network. حسب Afnan M. Alhassan (18349378)

Hyper-parameter tuning of the proposed model. حسب Afnan M. Alhassan (18349378)

Accuracy and F-Measure Analysis. حسب Afnan M. Alhassan (18349378)

FPR and FNR analysis. حسب Afnan M. Alhassan (18349378)

Comparative Analysis of Mitosis Detection Method. حسب Afnan M. Alhassan (18349378)

Markedness and NLR Analysis. حسب Afnan M. Alhassan (18349378)

Accuracy vs loss for varying epochs. حسب Afnan M. Alhassan (18349378)

Growth rate comparison between models and experimental results in mono-culture and co-culture. حسب Elias Vera-Siguenza (16993830)

Error function description and test optimization results. حسب Timothy Rumbell (7419269)

Comprehensive Detection of Single Amino Acid Variants and Evaluation of Their Deleterious Potential in a PANC‑1 Cell Line حسب Zhijing Tan (1314216)

"…Identifying single amino acid variants (SAAVs) in cancer is critical for precision oncology. Several advanced algorithms are now available to identify SAAVs, but attempts to combine different algorithms and optimize them on large data sets to achieve a more comprehensive coverage of SAAVs have not been implemented. …"

Table_6_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX حسب Shiqi Zhang (709298)