( en | de | ru )

 

Disambiguation of "Cheng, Jianlin"

Author of the publication

copydeleteadd this publication to your clipboard
SeqRate: sequence-based protein folding type classification and rates prediction.

, , , and . BMC Bioinform., 11 (S-3): 1 (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jianlin Ma

Cheng-Yung Cheng

I-Fen Cheng

Ying Min Cheng

Xiangdong Cheng

 

Other publications of authors with the same name

Three-stage prediction of protein ?-sheets by neural networks, alignments and graph algorithms., and . ISMB (Supplement of Bioinformatics), page 75-84. (2005)TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteins., , , and . Bioinform., 24 (4): 513-520 (2008)Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling information., and . BMC Bioinform., (2014)A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks., and . BMC Bioinform., 14 (S-14): S12 (2013)AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM images., , , and . BMC Bioinform., 20 (1): 326:1-326:26 (2019)CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles., and . IEEE Access, (2020)ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data., and . BMC Bioinform., 18 (1): 480 (2017)Improving protein fold recognition by random forest., and . BMC Bioinform., 15 (S-11): S14 (2014)Correction to: Auto3DCryoMap: an automated particle alignment approach for 3D cryo-EM density map reconstruction., , , and . BMC Bioinform., 23 (1): 92 (2022)DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks., , , , , and . BMC Bioinform., 22 (1): 38 (2021)