Generation and filling algorithm of macro geometry of cathode carbon block. حسب Chenglong Gong (20629836)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. حسب Yuxi Long (11024307)

الموضوعات:

Data and code resources. حسب Sam Hall-McMaster (10343795)

S9 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges حسب Hanne Zillmer (21782030)

S10 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges حسب Hanne Zillmer (21782030)

S8 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges حسب Hanne Zillmer (21782030)

S7 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges حسب Hanne Zillmer (21782030)

S11 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges حسب Hanne Zillmer (21782030)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

MHC II binding predictions حسب Robert Sinkovits (8918225)

"…<p dir="ltr">Predictions of peptide (15-mer) bindings to mouse I-A^b MHCII molecule using the neural network algorithm implemented in the IEDB MHC II version 2.13 collection of tools [1]. …"

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 7_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 3_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 2_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"

Table 1_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"