Results 121 to 130 of about 1,243,483 (265)

Therapeutic strategies for MMAE‐resistant bladder cancer through DPP4 inhibition

Molecular Oncology, EarlyView.
We established monomethyl auristatin E (MMAE)‐resistant bladder cancer (BC) cell lines by exposure to progressively increasing concentrations of MMAE in vitro. RNA sequencing showed DPP4 expression was increased in MMAE‐resistant BC cells. Both si‐DPP4 and the DPP4 inhibitor sitagliptin suppressed the viability of MMAE‐resistant BC cells.
Gang Li, Shuichi Tatarano, Hirofumi Yoshino, Saeki Saito, Mitsuhiko Tominaga, Junya Arima, Ikumi Fukuda, Takashi Sakaguchi, Ryosuke Matsushita, Yasutoshi Yamada, Hideki Enokida   +10 more
wiley   +1 more source

Large scale similarity search across digital reconstructions of neural morphology. [PDF]

Neurosci Res, 2022
Ljungquist B, Akram MA, Ascoli GA.
europepmc   +1 more source

Similarity Searching

, 2010
In deze masterproef onderzoeken we technieken voor het beschrijven van visuele informatie en ook manieren om te zoeken naar overeenkomsten tussen dit soort data. In het eerste deel maken we kennis met allerlei technieken die hiervoor bestaan in de literatuur. Met name wavelets en graaf-matching technieken zijn hierbij interessant.
openaire   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +1 more source

Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search. [PDF]

Nat Commun, 2022
Mao R, Wen B, Kazemi A, Zhao Y, Laguna AF, Lin R, Wong N, Niemier M, Hu XS, Sheng X, Graves CE, Strachan JP, Li C.   +12 more
europepmc   +1 more source

Combining antibody conjugates with cytotoxic and immune‐stimulating payloads maximizes anti‐cancer activity

Molecular Oncology, EarlyView.
Methods to improve antibody–drug conjugate (ADC) treatment durability in cancer therapy are needed. We utilized ADCs and immune‐stimulating antibody conjugates (ISACs), which are made from two non‐competitive antibodies, to enhance the entry of toxic payloads into cancer cells and deliver immunostimulatory agents into immune cells.
Tiexin Wang, Dong Jun Koo, Peter M. Tessier, Greg M. Thurber   +3 more
wiley   +1 more source

In Silico Screening of Quorum Sensing Inhibitor Candidates Obtained by Chemical Similarity Search. [PDF]

Molecules, 2022
Shekarappa SB, Rimac H, Lee J.
europepmc   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

A ranking hashing algorithm based on listwise supervision

Dianxin kexue, 2019
Recently,learning to hash technology has been used for the similarity search of large-scale data.It can simultaneous increase the search speed and reduce the storage cost through transforming the data into binary codes.At present,most ranking hashing ...
Anbang YANG, Jiangbo QIAN, Yihong DONG, Huahui CHEN   +3 more
doaj  

Similar Searching, Unsimilar Clicking

The 7th International Conference on Information Technology, 2015
In the study, a search engine log is partitioned into IP classes that differently present audiences of free and busy searchers. It is shown that searching behavior of users from different classes is practically identical in all characteristics except their click behavior. Differences in click behavior between classes are great.
openaire   +1 more source