Results 161 to 170 of about 97,549 (210)

On the zeros of the hypergeometric function

Mathematische Annalen, 1971
openaire   +2 more sources

Single-cell transcriptomic analysis reveals prognosis-related stromal signatures that potentiate stratification of patients with extrahepatic cholangiocarcinoma. [PDF]

BMC Gastroenterol
Ni C, Hua R, Yang Y, Liang J, Liu W, Wang L, Yao X, Li A, Yu L, Feng R, Lv D, Qin Z, Zhai W.   +12 more
europepmc   +1 more source

Islet single-cell transcriptomic profiling during obesity-induced beta cell expansion in female mice. [PDF]

iScience
Masschelin PM, Ochsner SA, Hartig SM, McKenna NJ, Cox AR.   +4 more
europepmc   +1 more source

A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning. [PDF]

J Proteome Res
Wang S, Xu R, Li G, Liu S, Zhu J, Gao P.
europepmc   +1 more source

Multi-omic latent variable data integration reveals multicellular structure pathways associated with resistance to tuberculin skin test (TST)/interferon gamma release assay (IGRA) conversion in Uganda. [PDF]

BMC Genomics
Cox MS, Dill-McFarland KA, Simmons JD, Benchek P, Mayanja-Kizza H, Boom WH, Stein CM, Hawn TR.   +7 more
europepmc   +1 more source

Relativistic bound state solutions and quantum information theory in D dimensions under exponential-type plus Yukawa potentials. [PDF]

Sci Rep
Horchani R, Omugbe E, Njoku IJ, Pérez LM, Onate CA, Jahanshir A, Feddi E, Emeje KO, Eyube ES.   +8 more
europepmc   +1 more source

Deciphering the molecular logic of WOX5 function in the root stem cell organizer. [PDF]

EMBO J
Zhang N, Bitterli P, Oluoch P, Hermann M, Aichinger E, Groot EP, Laux T.   +6 more
europepmc   +1 more source

Fragile X messenger ribonucleoprotein 1 (FMRP) regulates glycolytic gene expression under chronic hypoxia in HCT116 cells. [PDF]

Sci Rep
Ogura Y, Sun X, Zhang Z, Kawata K, Wu J, Matsubara R, Ozeki AN, Taniue K, Onoguchi-Mizutani R, Adachi S, Nakayama K, Goda N, Akimitsu N.   +12 more
europepmc   +1 more source

Deep scSTAR: leveraging deep learning for the extraction and enhancement of phenotype-associated features from single-cell RNA sequencing and spatial transcriptomics data. [PDF]

Brief Bioinform
Gao L, Liu Y, Zou J, Deng F, Liu Z, Zhang Z, Zhao X, Chen L, Tong HHY, Ji Y, Le H, Zou X, Hao J.   +12 more
europepmc   +1 more source