Immune infiltration analysis of the prognostic model in LIHC using multiple algorithms. حسب Shuang Zheng (768179)

Algorithm performance comparison of single sequence features and multiple input sequence features. حسب Dong Yi (511609)

Top models based on analysis of training and testing set samples using a suite of ML algorithms with sequential feature exclusion based on feature predictive importance. حسب Cathal Meehan (14129680)

Genes with rare, predicted damaging variants identified by exome sequencing in multiple affected members within 19 families with left sided defects. حسب David M. Gordon (3259002)

الموضوعات:

Asynchronous irregular firing in a (hypothetical) network processing multiple sequences in parallel. حسب Younes Bouhadjar (12902755)

Flowchart of NABind algorithm. حسب Zheng Jiang (282949)

الموضوعات:

Comparison of average recognition accuracy of different SEI algorithms under different input features. حسب Dong Yi (511609)

Sequenced subjects and phenotypes by family. حسب David M. Gordon (3259002)

الموضوعات:

Performance metrics of 28 and 9 SNPs in predicting NPC. حسب Ka Wo Wong (18625847)

الموضوعات:

Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. حسب Yanis Asloudj (19711636)

"…Because each method relies on specific hypotheses, their predictions can vary drastically. To address that issue, ensemble algorithms detect cell populations by integrating multiple clustering methods, and minimizing the differences of their predictions. …"

SVR prediction results. حسب Luo Heng (8822609)

"…Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. …"

LSTM prediction results. حسب Luo Heng (8822609)

"…Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. …"

TCN prediction results. حسب Luo Heng (8822609)

"…Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. …"

TCN-LSTM prediction results. حسب Luo Heng (8822609)

"…Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. …"

EMMD-TCN-LSTM prediction results. حسب Luo Heng (8822609)

"…Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. …"

CEMMD-TCN-LSTM prediction results. حسب Luo Heng (8822609)

"…Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. …"

Revised 1: Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. حسب Yanis Asloudj (19711636)

"…Because each method relies on specific hypotheses, their predictions can vary drastically. To address this issue, ensemble algorithms detect cell populations by integrating multiple clustering methods, and minimizing the differences of their predictions. …"

rbpTransformer model using multiple cores. حسب Ahmet Gürhanlı (21602042)

Structure of CFTR protein and multiple sequence alignment of NBD2. حسب Gabrianne Ivey (8356620)

"…Pink star denotes amino acid position identified as mutated in CF patients and investigated by covariance algorithms in this paper. Selected sequences shown are <i>Homo sapiens</i>, <i>Rasamsonia emersonii</i>, <i>Trachymyrmex cornetzi</i>, <i>Tetranychus urticae</i>, <i>Trypanosoma cruzi</i>, <i>Rhizophagus irregularis</i>,<i>Candida arabinofermentans Tetrapisispora blattae</i>, <i>Aspergillus rambellii</i>, and <i>Brachionus koreanus</i>.…"

Algorithm execution for one example sequence which requires two steps. حسب Vaitea Opuu (4966111)