Algorithm verification. حسب Dmitrii Smirnov (8822324)

Optimal ALARM BN discovered by CausNet. حسب Nand Sharma (21519845)

"…Our ‘partial generational orderings’ based method CausNet-partial is an efficient and scalable method for finding optimal sparse and small Bayesian networks from high dimensional data.…"

Algorithm 1: Cap inhibitory densities to number of neurons. حسب Dimitri Rodarie (10148838)

Summary of predictive performance per dataset when using gene-expression and clinical predictors. حسب Stephen R. Piccolo (8367780)

[Na⁺]i and [Ca²⁺]_nsr distance from steady state values dependence on number of beats per generation. حسب Dmitrii Smirnov (8822324)

Optimal image settings for object detection of Iba1 immunolabelled cells in DAB. حسب Danish M. Anwer (15383441)

Illustration of the BRIDES algorithm and the selection process. حسب Cindy Bouchard (6844979)

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

Image_1_Identification of a Novel Prognostic Signature for Gastric Cancer Based on Multiple Level Integration and Global Network Optimization.TIF حسب Lin Cui (163750)

"…Many prognostic signatures from genes and non-coding RNA (ncRNA) levels have been identified by high-throughput expression profiling for GC. …"

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

Table1_Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms.DOCX حسب Weimin Li (131040)

"…Compared with traditional bulk RNA-seq, single-cell RNA sequencing (scRNA-seq) enables the transcriptomes of a great deal of individual cells assayed in an unbiased manner, showing the potential to deeply reveal tumor heterogeneity. In this study, based on the scRNA-seq results of primary neoplastic cells and paired normal liver cells from eight HCC patients, a new strategy of machine learning algorithms was applied to screen core biomarkers that distinguished HCC tumor tissues from the adjacent normal liver. …"

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

Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX حسب Zhen Wang (72451)

"…</p><p>Methods: We collected three microarray datasets (GSE32269, GSE74367, and GSE66187) from the Gene Expression Omnibus (GEO) database for CRPC. …"

Table2_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX حسب Zhen Wang (72451)

"…</p><p>Methods: We collected three microarray datasets (GSE32269, GSE74367, and GSE66187) from the Gene Expression Omnibus (GEO) database for CRPC. …"

Table1_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX حسب Zhen Wang (72451)

"…</p><p>Methods: We collected three microarray datasets (GSE32269, GSE74367, and GSE66187) from the Gene Expression Omnibus (GEO) database for CRPC. …"

<i>In silico</i> prediction of blood cholesterol levels from genotype data حسب Francesco Reggiani (5727733)

"…<div><p>In this work we present a framework for blood cholesterol levels prediction from genotype data. The predictor is based on an algorithm for cholesterol metabolism simulation available in literature, implemented and optimized by our group in the R language. …"

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

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