GeneScan profiles of human peripheral blood samples. by Nika Abdollahi (4966120)

DataSheet1_Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.ZIP by Liangliang Wang (580395)

“…</p><p>Methods: Transcriptomic data of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We assessed the immune cell infiltration in each HCC specimen using single sample gene set enrichment analysis (ssGSEA) and classified all patients with HCC into high- and low-immune clusters using a hierarchical clustering algorithm. …”

Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

Most informative genes for predicting cell-line responses for Gefitinib. by Sofia P. Miranda (11418930)

Sampled population parameters and corresponding node-based metrics, node removal statistics and BRIDES results. by Cindy Bouchard (6844979)

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

Matching probability (MP), exclusion probability (PE), probability of identity (P(ID)), and probability of identity for siblings (P(ID)sibs) values for combinations of six microsat... by Dominic Kwesi Quainoo (21354093)

Solution sensitivity to the input baselines signal-to-noise ratio (SNR). by Dmitrii Smirnov (8822324)

Table2_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

Table1_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

Table3_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

Table4_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

Unsupervised clustering and marker gene signatures. by Josh L. Espinoza (10492448)

DataSheet1_FMixFN: A Fast Big Data-Oriented Genomic Selection Model Based on an Iterative Conditional Expectation algorithm.xlsx by Wenwu Xu (2023315)

DataSheet2_FMixFN: A Fast Big Data-Oriented Genomic Selection Model Based on an Iterative Conditional Expectation algorithm.doc by Wenwu Xu (2023315)

Table1_Identification of a ferroptosis-related gene signature predicting recurrence in stage II/III colorectal cancer based on machine learning algorithms.XLSX by Ze Wang (132986)

“…We developed a machine learning framework with 83 combinations of 10 algorithms based on 10-fold cross-validation (CV) or bootstrap resampling algorithm to identify the most robust and stable model. …”

The feature ranking grouping process of the IG-GPSO. by Fangyuan Yang (2567629)

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<i>FS</i> index of KNN on the selected feature subset. by Fangyuan Yang (2567629)

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<i>ACC</i> index of KNN on the selected feature subset. by Fangyuan Yang (2567629)

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<i>FS</i> index of SVM on the selected feature subset. by Fangyuan Yang (2567629)

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